From 85f54c572268065d9bac201bf6dbe76fffcd4b07 Mon Sep 17 00:00:00 2001 From: reubenthomas Date: Mon, 9 Aug 2021 17:00:26 -0700 Subject: [PATCH] mod --- .../IllustratePathwayEnrichmentMethods.R | 5 + .../Illustration_of_Enrichment_Analyses.Rmd | 340 + .../Illustration_of_Enrichment_Analyses.html | 988 ++ .../Stats_Enrich_Analyses.pptx | Bin 10920679 -> 11377416 bytes ...der_cancer_WikiPathways_gsea_gene_perm.csv | 555 + ...r_cancer_WikiPathways_gsea_sample_perm.csv | 503 + .../bladder_cancer_WikiPathways_ora.csv | 496 + ..._cancer_WikiPathways_padog_sample_perm.csv | 503 + .../bladder_cancer_WikiPathways_rSEA.csv | 569 + ...r_cancer_WikiPathways_safe_sample_perm.csv | 503 + .../bladder_cancer_diff_exp_results.csv | 12265 ++++++++++++++++ 11 files changed, 16727 insertions(+) create mode 100644 statistics-enrichment-analysis/Illustration_of_Enrichment_Analyses.Rmd create mode 100644 statistics-enrichment-analysis/Illustration_of_Enrichment_Analyses.html create mode 100644 statistics-enrichment-analysis/association_results/bladder_cancer_WikiPathways_gsea_gene_perm.csv create mode 100644 statistics-enrichment-analysis/association_results/bladder_cancer_WikiPathways_gsea_sample_perm.csv create mode 100644 statistics-enrichment-analysis/association_results/bladder_cancer_WikiPathways_ora.csv create mode 100644 statistics-enrichment-analysis/association_results/bladder_cancer_WikiPathways_padog_sample_perm.csv create mode 100644 statistics-enrichment-analysis/association_results/bladder_cancer_WikiPathways_rSEA.csv create mode 100644 statistics-enrichment-analysis/association_results/bladder_cancer_WikiPathways_safe_sample_perm.csv create mode 100644 statistics-enrichment-analysis/association_results/bladder_cancer_diff_exp_results.csv diff --git a/statistics-enrichment-analysis/IllustratePathwayEnrichmentMethods.R b/statistics-enrichment-analysis/IllustratePathwayEnrichmentMethods.R index 6db91d9..099d922 100644 --- a/statistics-enrichment-analysis/IllustratePathwayEnrichmentMethods.R +++ b/statistics-enrichment-analysis/IllustratePathwayEnrichmentMethods.R @@ -39,6 +39,11 @@ diff.res <- dds.bc %>% diff.res %>% plotMA(.) +##output the results +diff.res %>% + as.data.frame() %>% + rownames_to_column('Gene') %>% + write.csv(., "bladder_cancer_diff_exp_results.csv", row.names = FALSE) ##load the pathway gene set data-bases database_lists <- load("databases.RData")#has wp, pfocr, go diff --git a/statistics-enrichment-analysis/Illustration_of_Enrichment_Analyses.Rmd b/statistics-enrichment-analysis/Illustration_of_Enrichment_Analyses.Rmd new file mode 100644 index 0000000..b76b6e1 --- /dev/null +++ b/statistics-enrichment-analysis/Illustration_of_Enrichment_Analyses.Rmd @@ -0,0 +1,340 @@ +--- +title: "Statistics of Enrichment Analyses" +author: "Reuben Thomas" +date: "8/12/2021" +output: html_document +--- + +```{r setup, include=FALSE} +knitr::opts_chunk$set(echo = TRUE) +``` + +Let us load the libraries requires for the various analyses described in this document +```{r} +##libraries for "tidy" manipulation of data +suppressMessages(library(tidyverse)) + +##libraries for "tidy" manipulation of data +suppressMessages(library(magrittr)) + +##library used for normalizing gene expression data and then perform statistical association of gene expression with tumor vs normal comparison of bladder cancer samples +suppressMessages(library(DESeq2)) + +##library used for generating a Volcano Plot +suppressMessages(library(EnhancedVolcano)) + +##library to illustrate the use of Over Representation Analyses (ORA) and Gene Set Enrichment Analyses (GSEA) with gene permutation +suppressMessages(library(clusterProfiler)) + +##library to illustrate the use of Simulataneous Enrichment Analyses (SEA) +suppressMessages(library(rSEA)) + +##library to illustrate the use of Significance Analysis of Function and Expression (SAFE), Pathway Analysis with Down-weighting of Overlapping Genes (PADOG) and Gene Set Enrichment Analyses (GSEA) with sample permutation +suppressMessages(library(GSEABenchmarkeR)) + + +``` +# Scientific Question +*What are the biological pathways/gene sets differerntially regulated between the tumor and normal tissues in bladder cancer patients?* + +# Data +The gene expression we will work with are assayed using RNA-seq in the tumor and normal tissues drawn from 19 subjects with bladder cancer. These data are derived from [The Cancer Genome Atlas](https://www.cancer.gov/about-nci/organization/ccg/research/structural-genomics/tcga) (TCGA). + +# Methods +The methods we will use to answer the scientific question are described below: + +1. Load the gene expression data and understand the study design + +2. Perform differential expression analyses + +3. Run six different enrichment analyses methods. + + +**Note:** In normal practice we may run only one or at most two methods to answer our question. However, our purpose here is to illustrate the use of different methods, higlight and interpret their results in the context of the associated assumptions of each method. The choice of the methods we use will depend on ... + +a. ... the nature of our hypothesis, i.e., are we interested in a very specific biochemical pathway? or + +b. ... are we agnostic of the nature of the biochemical pathways we discover to be asssociated with what we are studying?, + +c. ... if we want to interpret the resulting p-values as measures of reproducibility of our enriched pathways by other research groups using data derived from new bladder cancer patient samples? + +d. ... whether the assay we are using is a genome-wide assay or a very targeted assay focusing on a specific group of genes or proteins + +# Analyses +## Load the data and understand the experimental data +The gene expression data will be loaded as a [SummarizedExperiment](https://bioconductor.org/packages/release/bioc/html/SummarizedExperiment.html) object in an [RDS](https://www.rdocumentation.org/packages/base/versions/3.6.2/topics/readRDS) file. +```{r} +tcga <- readRDS("bladder_cancer_tcga_summarized_experiment.rds") + +##short summary of tcga. Note the 12,264 rownames represent the gene names as Entrez IDs +tcga + +print("Short summary of the RNA-seq samples") +##quick summary of 38 samples. Note the variable GROUP refers to tumor vs normal assignment while the variable BLOCK refers to the patient. From each of the 19 patients, tumor and normal tissue are derived and assayed for gene expression +colData(tcga) + +##turn the GROUP and BLOCK variables to categorical variables +tcga$GROUP <- as.factor(tcga$GROUP) +tcga$BLOCK <- as.factor(tcga$BLOCK) + +print("Look at the read counts of 4 genes for a 5 samples") +(assays(tcga))$exprs[1:4,1:5] + + +``` +## Differential expression analyses +```{r message=FALSE} +##create a DESeq data object +dds.bc <- DESeqDataSet(tcga, design = ~ GROUP + BLOCK) + +##estimate normalization/size-factors and dispersions +dds.bc %<>% DESeq(.) + + +##variance stabilizing transformation to view the normalize data +vsd.bc <- dds.bc %>% + vst(., blind=TRUE) + +##generate the PCA plot using the normalized data. Note the clustering of the samples by the tumor versus normal comparisons +vsd.bc %>% + plotPCA(., intgroup=c("GROUP")) + +##differential expression association for tumor versus normal differences controlling for patient specific differences +diff.res <- dds.bc %>% + results(., contrast = c("GROUP", "1", "0"), pAdjustMethod="bonferroni") + +##visualize the results using a Volcano Plot +diff.res %>% + as.data.frame() %>% + EnhancedVolcano(., + lab = rownames(.), + x = 'log2FoldChange', + y = 'padj', + xlim = c(-5, 8)) + +##output the results +diff.res %>% + as.data.frame() %>% + rownames_to_column('Gene') %>% + write.csv(., "bladder_cancer_diff_exp_results.csv", row.names = FALSE) + +``` + +## Load the gene set/pathway databases of interest +We will load the Gene Ontology and WikiPathways databases. Note, an additional database called *PFOCR* is also loaded. We will ignore this database during this workshop. +```{r} +##load the pathway gene set data-bases +database_lists <- load("databases.RData")#has wp, pfocr, go + +##WikiPathways annotation is a data frame that links genes (in terms of their Entrez IDs) to each of the WikiPathways (annotated by their names and IDs) +head(wp_annotation) + +##WikiPathways list is a list of character vectors of Entrez IDs representing genes associated with each pathway +head(wp_list) + +``` + + +## Illustration of different enrichment analyses methods +### Over Representation Analyses (ORA) +The input to this analyses is a list of genes of interest (here it would be the list of genes deemed differentially expressed between the tumor and normal samples) and also the universe of genes from which the former list of genes were derived. + +We will use a function in the *clusterProfiler* library to perform this analysis. +```{r} +##Choose set of differential expressed genes +##pick the differentially expressed genes using 0.05 threshold +diff_genes <- diff.res %>% + as.data.frame() %>% + rownames_to_column('gene') %>% + filter(padj < 0.05) %>% + .$gene +##important to pick the universe of genes. We will use all genes for which we have gene counts +universe_genes <- diff.res %>% + as.data.frame() %>% + rownames_to_column('gene') %>% + .$gene + +##run the ORA analyses +res_ora <- enricher( + gene = diff_genes, + universe = universe_genes, + pAdjustMethod = "BH", + pvalueCutoff = 1, #p.adjust cutoff + qvalueCutoff = 1, + minGSSize = 1, + maxGSSize = 100000, + TERM2GENE = wp_annotation[,c("set_id","gene")], + TERM2NAME = wp_annotation[,c("set_id","name")]) + +res_ora <- res_ora@result + +## view the first few rows of the results +head(res_ora) + +#GeneRatio: Proportion of differentially expressed in each WikiPathway +#BgRatio: Proportion of all genes that are association with at least WikiPathway that is associated with each WikiPathway + +##Estimate the odds ratio +#k: total number of differentially expressed genes annotated to at least one WikiPathway that are also part of each gene set +k <- sapply(res_ora$GeneRatio, function(x) as.numeric(strsplit(x, "/")[[1]][1])) +#n: total number of differentially expressed genes annotated to at least one WikiPathway +n <- sapply(res_ora$GeneRatio, function(x) as.numeric(strsplit(x, "/")[[1]][2])) +#M: total number of genes in each gene set +M <- sapply(res_ora$BgRatio, function(x) as.numeric(strsplit(x, "/")[[1]][1])) +#N: total number of genes assigned to at least one WikiPathway. Note, this number will be less than or equal to the total number of genes for which you have count data in the RNA-seq (gene expression) data set +N <- sapply(res_ora$BgRatio, function(x) as.numeric(strsplit(x, "/")[[1]][2])) +odds_ratio <- (k*(N-M-n+k))/((M-k)*(n-k)) + +res_ora %<>% mutate(odds_ratio=odds_ratio) + +## view the first few rows of the results +head(res_ora) + + +res_ora %>% + write.csv(., "bladder_cancer_WikiPathways_ora.csv", row.names = FALSE) + +``` + +### Simultaneous Enrichment Analyses (SEA) +These analyses require as input the (unadjusted) p-values associated with differential expression for each gene. + + + +```{r} +# ##get estimates of the overall proportion of genes asssociated with the tumor vs normal comparison +TDPestimate_full <- setTDP(diff.res$pvalue, universe_genes, alpha = 0.05) + +TDPestimate_full + +##run rSEA method +res_rSEA <- SEA(diff.res$pvalue, universe_genes, pathlist = wp_list) + + +##add additional column named Name so that these results can be merged with the wp_annotation data frame +res_rSEA %<>% mutate(set_id=Name) +##get pathway names +wp_id_2_names <- wp_annotation %>% + select(1,2) %>% + unique() + +res_rSEA %<>% merge(wp_id_2_names,.) + +##View the first few rows of the results. Note: SC.adjP represents the adjusted p-value for the significance of self-contained null hypothesis while Comp.adjP represents the adjusted p-values for the significance of the competitive null hypothesis +res_rSEA %>% + dplyr::slice(order(Comp.adjP)) %>% + head() + +res_rSEA %>% dplyr::slice(order(Comp.adjP)) %>% + write.csv(., "bladder_cancer_WikiPathways_rSEA.csv", row.names = FALSE) + + + +``` + +### Significance Analyses of Function and Expression (SAFE) +These analyses require as input the normalized expression matrix of gene expression across all genes over all the 38 samples. The estimation of the significance of the association of a given gene set with the tumor vs normal comparison is based on permutation of the sample (tumor or normal) labels per subject. + +```{r} +##We will use the GSEABenchmarkeR package to run this analyses. The function requires as input a list of SummarizedExperiment objects which includes additional rowData giving the differential expression results + +tcga.de <- readRDS("bladder_cancer_tcga_summarized_experiment_w_de_results.rds") + +##Note the function runEA takes the raw data, normalizes the expression data using the vst function in DESeq2 that generates the variance stabilized transformed normalized data which is then used as input to the SAFE method +##We will not run the analyses here because the 1000 permutations will take some time to complete +# res_safe_sample_perm <- runEA(tcga.de, method="safe", gs=wp_list, perm=1000) +# res_safe <- res_safe_sample_perm$safe[[1]]$ranking %>% as.data.frame() +# res_safe %<>% mutate(set_id=GENE.SET) +# res_safe %<>% merge(wp_id_2_names,.) %>% slice(order(PVAL)) +# res_safe %>% +# write.csv(., "bladder_cancer_WikiPathways_safe_sample_perm.csv", row.names = FALSE) + +##let us just read-in the results +res_safe <- read.csv("bladder_cancer_WikiPathways_safe_sample_perm.csv", header = TRUE) +##View the first few rows of the results +head(res_safe) +``` + +### Pathway Analysis with Down-weighting of Overlapping Genes (PADOG) +These analyses require as input the normalized expression matrix of gene expression across all genes over all the 38 samples. The estimation of the significance of the association of a given gene set with the tumor vs normal comparison is based on permutation of the sample (tumor or normal) labels per subject. This method includes the use of weights for each gene depending on its uniqueness to the gene set under consideration. + +```{r} +tcga.de <- readRDS("bladder_cancer_tcga_summarized_experiment_w_de_results.rds") + +##Note the function runEA takes the raw data, normalizes the expression data using the vst function in DESeq2 that generates the variance stabilized transformed normalized data which is then used as input to the SAFE method +##We will not run the analyses here because the 1000 permutations will take some time to complete + +# res_padog_sample_perm <- runEA(tcga.de, method="padog", gs=wp_list, perm=1000) +# res_padog <- res_padog_sample_perm$padog[[1]]$ranking %>% as.data.frame() +# res_padog %<>% mutate(set_id=GENE.SET) +# res_padog %<>% merge(wp_id_2_names,.) %>% slice(order(PVAL)) +# res_padog %>% +# write.csv(., "bladder_cancer_WikiPathways_padog_sample_perm.csv", row.names = FALSE) + +##let us just read-in the results +res_padog <- read.csv("bladder_cancer_WikiPathways_padog_sample_perm.csv", header = TRUE) +##View the first few rows of the results +head(res_padog) + +``` + +### Gene Set Enrichment Analyses (GSEA) with sample permutation +These analyses require as input the normalized expression matrix of gene expression across all genes over all the 38 samples. The estimation of the significance of the association of a given gene set with the tumor vs normal comparison is based on permutation of the sample (tumor or normal) labels per subject. + +```{r} +tcga.de <- readRDS("bladder_cancer_tcga_summarized_experiment_w_de_results.rds") + +##Note the function runEA takes the raw data, normalizes the expression data using the vst function in DESeq2 that generates the variance stabilized transformed normalized data which is then used as input to the SAFE method +##We will not run the analyses here because the 1000 permutations will take some time to complete + +# res_gsea_sample_perm <- runEA(tcga.de, method="gsea", gs=wp_list, perm=1000) +# res_gsea <- res_gsea_sample_perm$gsea[[1]]$ranking %>% as.data.frame() +# res_gsea %<>% mutate(set_id=GENE.SET) +# res_gsea %<>% merge(wp_id_2_names,.) %>% slice(order(PVAL)) +# res_gsea %>% +# write.csv(., "bladder_cancer_WikiPathways_gsea_sample_perm.csv", row.names = FALSE) + +##let us just read-in the results +res_gsea <- read.csv("bladder_cancer_WikiPathways_gsea_sample_perm.csv", header = TRUE) +##View the first few rows of the results +head(res_gsea) + +``` + +### Gene Set Enrichment Analyses (GSEA) with gene permutation +These analyses require as input a score for each gene. The larger the absolute value of the score for a gene is the more the evidence of the strength of the association of the expression of the gene with the tumor vs normal comparison. The estimation of the significance of the association of a given gene set with the tumor vs normal comparison is based on permutation of the gene labels. + +```{r} +##generate a score for each gene that is equal to -log10(pvalue) in absolute value and whose sign is equal to that of the log FC - positive for up-regulated genes while negative for down-regulated genes +gene_list <- diff.res %>% + as.data.frame() %>% + rownames_to_column('Gene') %>% + mutate(Score = sign(as.numeric(log2FoldChange)) * - log10(as.numeric(as.character(pvalue)))) %>% + select(c("Score","Gene")) %>% + arrange(desc(Score)) + +gene_list <- unlist(split(gene_list[, 1], gene_list[, 2])) +gene_list = sort(gene_list[unique(names(gene_list))], decreasing = TRUE) + +head(gene_list) +tail(gene_list) + +##run the gene perm version of gsea +res_gsea_gene_perm <- clusterProfiler::GSEA( + gene_list, + pAdjustMethod="BH", + TERM2GENE = wp_annotation[,c("set_id","gene")], + TERM2NAME = wp_annotation[,c("set_id","name")] , + minGSSize = 1, + maxGSSize = 100000, + pvalueCutoff = 1, + verbose=FALSE) + +res_gsea_gene_perm <- res_gsea_gene_perm@result + +##view the first few rows of the results +head(res_gsea_gene_perm) +res_gsea_gene_perm %>% + write.csv(., "bladder_cancer_WikiPathways_gsea_gene_perm.csv", row.names = FALSE) + +``` diff --git a/statistics-enrichment-analysis/Illustration_of_Enrichment_Analyses.html b/statistics-enrichment-analysis/Illustration_of_Enrichment_Analyses.html new file mode 100644 index 0000000..599650d --- /dev/null +++ b/statistics-enrichment-analysis/Illustration_of_Enrichment_Analyses.html @@ -0,0 +1,988 @@ + + + + + + + + + + + + + + +Statistics of Enrichment Analyses + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + +
+ + + + + + + +

Let us load the libraries requires for the various analyses described in this document

+
##libraries for "tidy" manipulation of data 
+suppressMessages(library(tidyverse))
+
+##libraries for "tidy" manipulation of data 
+suppressMessages(library(magrittr))
+
+##library used for normalizing gene expression data and then perform statistical association of gene expression with tumor vs normal comparison of bladder cancer samples
+suppressMessages(library(DESeq2))
+
+##library used for generating a Volcano Plot
+suppressMessages(library(EnhancedVolcano))
+
+##library to illustrate the use of Over Representation Analyses (ORA) and Gene Set Enrichment Analyses (GSEA) with gene permutation
+suppressMessages(library(clusterProfiler))
+
+##library to illustrate the use of Simulataneous Enrichment Analyses (SEA)
+suppressMessages(library(rSEA))
+
+##library to illustrate the use of Significance Analysis of Function and Expression (SAFE), Pathway Analysis with Down-weighting of Overlapping Genes (PADOG) and Gene Set Enrichment Analyses (GSEA) with sample permutation
+suppressMessages(library(GSEABenchmarkeR))
+
+

Scientific Question

+

What are the biological pathways/gene sets differerntially regulated between the tumor and normal tissues in bladder cancer patients?

+
+
+

Data

+

The gene expression we will work with are assayed using RNA-seq in the tumor and normal tissues drawn from 19 subjects with bladder cancer. These data are derived from The Cancer Genome Atlas (TCGA).

+
+
+

Methods

+

The methods we will use to answer the scientific question are described below:

+
    +

  1. Load the gene expression data and understand the study design

    2. +

  2. Perform differential expression analyses

    3. +

  3. Run six different enrichment analyses methods.

    4. +
+

Note: In normal practice we may run only one or at most two methods to answer our question. However, our purpose here is to illustrate the use of different methods, higlight and interpret their results in the context of the associated assumptions of each method. The choice of the methods we use will depend on …

+
    +

  1. … the nature of our hypothesis, i.e., are we interested in a very specific biochemical pathway? or

    2. +

  2. … are we agnostic of the nature of the biochemical pathways we discover to be asssociated with what we are studying?,

    3. +

  3. … if we want to interpret the resulting p-values as measures of reproducibility of our enriched pathways by other research groups using data derived from new bladder cancer patient samples?

    4. +

  4. … whether the assay we are using is a genome-wide assay or a very targeted assay focusing on a specific group of genes or proteins

    5. +
+
+
+

Analyses

+
+

Load the data and understand the experimental data

+

The gene expression data will be loaded as a SummarizedExperiment object in an RDS file.

+
tcga <- readRDS("bladder_cancer_tcga_summarized_experiment.rds")
+
+##short summary of tcga. Note the 12,264 rownames represent the gene names as Entrez IDs
+tcga
+
## class: SummarizedExperiment 
+## dim: 12264 38 
+## metadata(3): annotation dataId dataType
+## assays(1): exprs
+## rownames(12264): 2 144568 ... 23140 26009
+## rowData names(0):
+## colnames(38): TCGA-K4-A3WV-01A-11R-A22U-07 TCGA-BT-A20W-01A-21R-A14Y-07
+##   ... TCGA-GC-A6I3-11A-11R-A31N-07 TCGA-GD-A2C5-11A-11R-A180-07
+## colData names(4): sample type GROUP BLOCK
+
print("Short summary of the RNA-seq samples")
+
## [1] "Short summary of the RNA-seq samples"
+
##quick summary of 38 samples. Note the variable GROUP refers to tumor vs normal assignment while the variable BLOCK refers to the patient. From each of the 19 patients, tumor and normal tissue are derived and assayed for gene expression 
+colData(tcga)
+
## DataFrame with 38 rows and 4 columns
+##                                                    sample     type     GROUP
+##                                               <character> <factor> <numeric>
+## TCGA-K4-A3WV-01A-11R-A22U-07 TCGA-K4-A3WV-01A-11R-A22U-07     BLCA         1
+## TCGA-BT-A20W-01A-21R-A14Y-07 TCGA-BT-A20W-01A-21R-A14Y-07     BLCA         1
+## TCGA-K4-A5RI-01A-11R-A28M-07 TCGA-K4-A5RI-01A-11R-A28M-07     BLCA         1
+## TCGA-BT-A20N-01A-11R-A14Y-07 TCGA-BT-A20N-01A-11R-A14Y-07     BLCA         1
+## TCGA-BL-A13J-01A-11R-A277-07 TCGA-BL-A13J-01A-11R-A277-07     BLCA         1
+## ...                                                   ...      ...       ...
+## TCGA-BT-A2LB-11A-11R-A18C-07 TCGA-BT-A2LB-11A-11R-A18C-07     BLCA         0
+## TCGA-K4-A54R-11A-11R-A26T-07 TCGA-K4-A54R-11A-11R-A26T-07     BLCA         0
+## TCGA-GC-A3WC-11A-11R-A22U-07 TCGA-GC-A3WC-11A-11R-A22U-07     BLCA         0
+## TCGA-GC-A6I3-11A-11R-A31N-07 TCGA-GC-A6I3-11A-11R-A31N-07     BLCA         0
+## TCGA-GD-A2C5-11A-11R-A180-07 TCGA-GD-A2C5-11A-11R-A180-07     BLCA         0
+##                                     BLOCK
+##                               <character>
+## TCGA-K4-A3WV-01A-11R-A22U-07 TCGA-K4-A3WV
+## TCGA-BT-A20W-01A-21R-A14Y-07 TCGA-BT-A20W
+## TCGA-K4-A5RI-01A-11R-A28M-07 TCGA-K4-A5RI
+## TCGA-BT-A20N-01A-11R-A14Y-07 TCGA-BT-A20N
+## TCGA-BL-A13J-01A-11R-A277-07 TCGA-BL-A13J
+## ...                                   ...
+## TCGA-BT-A2LB-11A-11R-A18C-07 TCGA-BT-A2LB
+## TCGA-K4-A54R-11A-11R-A26T-07 TCGA-K4-A54R
+## TCGA-GC-A3WC-11A-11R-A22U-07 TCGA-GC-A3WC
+## TCGA-GC-A6I3-11A-11R-A31N-07 TCGA-GC-A6I3
+## TCGA-GD-A2C5-11A-11R-A180-07 TCGA-GD-A2C5
+
##turn the GROUP and BLOCK variables to categorical variables
+tcga$GROUP <- as.factor(tcga$GROUP)
+tcga$BLOCK <- as.factor(tcga$BLOCK)
+
+print("Look at the read counts of 4 genes for a 5 samples")
+
## [1] "Look at the read counts of 4 genes for a 5 samples"
+
(assays(tcga))$exprs[1:4,1:5]
+
##        TCGA-K4-A3WV-01A-11R-A22U-07 TCGA-BT-A20W-01A-21R-A14Y-07
+## 2                              2133                        26508
+## 144568                         1124                           60
+## 53947                          2619                          769
+## 8086                           3621                         1914
+##        TCGA-K4-A5RI-01A-11R-A28M-07 TCGA-BT-A20N-01A-11R-A14Y-07
+## 2                             18641                         3828
+## 144568                          264                         1241
+## 53947                          2723                          424
+## 8086                           2910                         1239
+##        TCGA-BL-A13J-01A-11R-A277-07
+## 2                             23443
+## 144568                         1444
+## 53947                           544
+## 8086                           1217
+
+
+

Differential expression analyses

+
##create a DESeq data object
+dds.bc <- DESeqDataSet(tcga, design = ~ GROUP + BLOCK)
+
+##estimate normalization/size-factors and dispersions
+dds.bc %<>% DESeq(.)
+
+
+##variance stabilizing transformation to view the normalize data
+vsd.bc <- dds.bc %>%
+  vst(., blind=TRUE)
+
+##generate the PCA plot using the normalized data. Note the clustering of the samples by the tumor versus normal comparisons
+vsd.bc %>%
+  plotPCA(., intgroup=c("GROUP"))
+

+
##differential expression association for tumor versus normal differences controlling for patient specific differences
+diff.res <- dds.bc %>% 
+  results(., contrast = c("GROUP", "1", "0"), pAdjustMethod="bonferroni")
+
+##visualize the results using a Volcano Plot
+diff.res %>%
+  as.data.frame() %>%
+  EnhancedVolcano(.,
+    lab = rownames(.),
+    x = 'log2FoldChange',
+    y = 'padj',
+    xlim = c(-5, 8))
+

+
##output the results
+diff.res %>%
+  as.data.frame() %>%
+  rownames_to_column('Gene') %>%
+  write.csv(., "bladder_cancer_diff_exp_results.csv", row.names = FALSE)
+
+
+

Load the gene set/pathway databases of interest

+

We will load the Gene Ontology and WikiPathways databases. Note, an additional database called PFOCR is also loaded. We will ignore this database during this workshop.

+
##load the pathway gene set data-bases
+database_lists <- load("databases.RData")#has wp, pfocr, go
+
+##WikiPathways annotation is a data frame that links genes (in terms of their Entrez IDs) to each of the WikiPathways (annotated by their names and IDs)
+head(wp_annotation)
+
##                                name set_id   gene
+## 1           FABP4 in ovarian cancer WP4400 574413
+## 2           FABP4 in ovarian cancer WP4400   2167
+## 3 B Cell Receptor Signaling Pathway   WP23   4690
+## 4 B Cell Receptor Signaling Pathway   WP23   5781
+## 5 B Cell Receptor Signaling Pathway   WP23  11184
+## 6 B Cell Receptor Signaling Pathway   WP23   6195
+
##WikiPathways list is a list of character vectors of Entrez IDs representing genes associated with each pathway
+head(wp_list)
+
## $WP100
+##  [1] "728441"    "91227"     "290"       "26873"     "221357"    "92086"    
+##  [7] "3417"      "2878"      "2944"      "2877"      "2678"      "2876"     
+## [13] "2953"      "2687"      "102724197" "2730"      "2938"      "2729"     
+## [19] "2937"      "2936"      "2946"      "2539"      "2879"     
+## 
+## $WP106
+##  [1] "189"  "443"  "2875" "445"  "435"  "18"   "2572" "2571" "2806" "5091"
+## [11] "2805" "1615"
+## 
+## $WP107
+##  [1] "8893"      "102466854" "8894"      "8891"      "101930123" "8892"     
+##  [7] "8890"      "29904"     "1975"      "2107"      "1974"      "1973"     
+## [13] "5610"      "1938"      "1937"      "1936"      "1979"      "1978"     
+## [19] "1977"      "1933"      "8662"      "8663"      "8661"      "8666"     
+## [25] "3692"      "8667"      "8664"      "8665"      "100302143" "1984"     
+## [31] "1983"      "1981"      "9669"      "3646"      "8672"      "23708"    
+## [37] "9086"      "27102"     "7458"      "1917"      "8668"      "8669"     
+## [43] "1915"      "26986"     "23277"     "9451"      "728689"    "1965"     
+## [49] "1964"      "10209"     "10605"     "8637"      "1968"      "1967"     
+## 
+## $WP111
+##   [1] "4694"      "4695"      "4696"      "1340"      "1337"      "4728"     
+##   [7] "4729"      "27089"     "513"       "514"       "55967"     "4720"     
+##  [13] "515"       "516"       "517"       "4722"      "4723"      "518"      
+##  [19] "4724"      "4725"      "4726"      "1339"      "1351"      "1350"     
+##  [25] "1349"      "1347"      "1346"      "521"       "1345"      "522"      
+##  [31] "29796"     "4697"      "4698"      "4731"      "93974"     "9481"     
+##  [37] "102465669" "27109"     "4508"      "4509"      "498"       "1355"     
+##  [43] "1353"      "539"       "374291"    "10476"     "10632"     "9377"     
+##  [49] "7352"      "7351"      "9016"      "6389"      "7350"      "4519"     
+##  [55] "4512"      "4513"      "4514"      "6391"      "6390"      "6392"     
+##  [61] "10975"     "9551"      "4540"      "4541"      "10063"     "6834"     
+##  [67] "4535"      "4536"      "4537"      "4538"      "4539"      "7385"     
+##  [73] "7384"      "7386"      "9167"      "100616403" "7388"      "291"      
+##  [79] "292"       "293"       "7381"      "4705"      "4706"      "4707"     
+##  [85] "4708"      "4709"      "4700"      "4701"      "4702"      "4704"     
+##  [91] "6341"      "1327"      "4716"      "4717"      "100500805" "4718"     
+##  [97] "4719"      "4710"      "506"       "4711"      "4712"      "4713"     
+## [103] "1329"      "509"       "4714"      "4715"     
+## 
+## $WP117
+##  [1] "26716"     "9620"      "128674"    "30817"     "6752"      "3363"     
+##  [7] "54112"     "154"       "56413"     "2149"      "341416"    "83873"    
+## [13] "27202"     "23284"     "51289"     "3356"      "3355"      "138883"   
+## [19] "1815"      "1814"      "4923"      "81050"     "5737"      "8387"     
+## [25] "5032"      "57191"     "53829"     "9038"      "1909"      "26648"    
+## [31] "144124"    "2911"      "2833"      "2798"      "1268"      "26245"    
+## [37] "887"       "2918"      "53831"     "2837"      "1901"      "4935"     
+## [43] "9289"      "9287"      "29929"     "9288"      "4992"      "393046"   
+## [49] "8390"      "1880"      "23266"     "2692"      "2492"      "59340"    
+## [55] "8392"      "254786"    "6608"      "26494"     "401428"    "1952"     
+## [61] "1951"      "135"       "3579"      "2841"      "1234"      "3577"     
+## [67] "2840"      "26333"     "26212"     "221395"    "26211"     "11245"    
+## [73] "341276"    "2925"      "283383"    "64582"     "100616112" "59352"    
+## [79] "29933"     "1131"      "27239"     "9290"      "140"       "59350"    
+## [85] "118442"    "1129"      "10888"     "84658"     "79541"     "84539"    
+## [91] "146"       "2532"      "84059"     "4994"     
+## 
+## $WP12
+##  [1] "8792"  "3690"  "8111"  "5155"  "8600"  "6696"  "4982"  "9550"  "56302"
+## [10] "1513"  "3456"  "3454"  "7965"  "5599"  "6548"  "54"
+
+
+

Illustration of different enrichment analyses methods

+
+

Over Representation Analyses (ORA)

+

The input to this analyses is a list of genes of interest (here it would be the list of genes deemed differentially expressed between the tumor and normal samples) and also the universe of genes from which the former list of genes were derived.

+

We will use a function in the clusterProfiler library to perform this analysis.

+
##Choose set of differential expressed genes
+##pick the differentially expressed genes using 0.05 threshold
+diff_genes <- diff.res %>%
+    as.data.frame() %>%
+    rownames_to_column('gene') %>%
+    filter(padj < 0.05) %>%
+    .$gene 
+##important to pick the universe of genes. We will use all genes for which we have gene counts
+universe_genes <- diff.res %>%
+  as.data.frame() %>%
+  rownames_to_column('gene') %>%
+  .$gene
+
+##run the ORA analyses
+res_ora <- enricher(
+  gene = diff_genes,
+  universe = universe_genes,
+  pAdjustMethod = "BH",
+  pvalueCutoff = 1, #p.adjust cutoff
+  qvalueCutoff = 1,
+  minGSSize = 1,
+  maxGSSize = 100000,
+  TERM2GENE = wp_annotation[,c("set_id","gene")],
+  TERM2NAME = wp_annotation[,c("set_id","name")])
+
+res_ora <- res_ora@result
+
+## view the first few rows of the results
+head(res_ora)
+
##            ID                                    Description GeneRatio  BgRatio
+## WP2446 WP2446                  Retinoblastoma Gene in Cancer   47/1022  86/4839
+## WP466   WP466                                DNA Replication   26/1022  41/4839
+## WP2361 WP2361                       Gastric Cancer Network 1   16/1022  22/4839
+## WP179   WP179                                     Cell Cycle   48/1022 115/4839
+## WP45     WP45                     G1 to S cell cycle control   30/1022  61/4839
+## WP289   WP289 Myometrial Relaxation and Contraction Pathways   46/1022 120/4839
+##              pvalue     p.adjust       qvalue
+## WP2446 6.082885e-12 3.011028e-09 2.817336e-09
+## WP466  4.881223e-09 1.208103e-06 1.130388e-06
+## WP2361 2.877882e-07 4.208137e-05 3.937438e-05
+## WP179  3.400515e-07 4.208137e-05 3.937438e-05
+## WP45   9.280214e-07 9.187412e-05 8.596409e-05
+## WP289  9.770180e-06 8.060399e-04 7.541894e-04
+##                                                                                                                                                                                                                                          geneID
+## WP2446 25/54443/890/891/9133/898/9134/993/8318/8317/983/1017/1019/81620/1111/1786/1869/1870/2189/24137/4173/4175/4176/2956/4609/4998/5111/10733/5426/5427/5557/5591/5928/5947/5983/5984/5985/6119/6241/6502/10592/3925/7027/7153/7272/7298/7465
+## WP466                                                                                                     8318/990/8317/1017/81620/10926/55388/4171/4173/4174/4175/4176/4998/23594/5111/23649/5424/5426/5427/5557/5558/5982/5983/5984/5985/6119
+## WP2361                                                                                                                                                   86/6790/1063/144455/1894/56992/9585/286826/4173/4605/57122/8607/64094/7153/22974/11065
+## WP179   25/699/9184/890/891/9133/894/898/9134/991/993/995/8318/990/8317/983/1017/1019/1028/1111/11200/10926/1869/1870/9700/4616/2932/3066/10459/4171/4173/4174/4175/4176/4609/4998/23594/5111/9088/5347/5591/9232/5933/6502/7027/7043/7272/7465
+## WP45                                                                                        891/894/898/9134/993/8318/983/1017/1019/1028/90993/1869/1870/4171/4173/4174/4175/4176/4609/4998/23594/5111/23649/5426/5427/5557/5558/6119/7027/7465
+## WP289         58/59/70/108/196883/111/115/408/467/489/800/817/1264/2353/2791/55970/54331/2788/2869/3488/3489/3569/3708/1902/23764/4846/5142/5144/11142/5331/5336/5577/5579/5590/10267/10266/10268/5996/8786/10287/5997/8490/8787/6262/6263/6546
+##        Count
+## WP2446    47
+## WP466     26
+## WP2361    16
+## WP179     48
+## WP45      30
+## WP289     46
+
#GeneRatio: Proportion of differentially expressed in each WikiPathway
+#BgRatio: Proportion of all genes that are association with at least WikiPathway that is associated with each WikiPathway
+
+##Estimate the odds ratio
+#k: total number of differentially expressed genes annotated to at least one WikiPathway that are also part of each gene set 
+k <- sapply(res_ora$GeneRatio, function(x) as.numeric(strsplit(x, "/")[[1]][1]))
+#n: total number of differentially expressed genes annotated to at least one WikiPathway
+n <- sapply(res_ora$GeneRatio, function(x) as.numeric(strsplit(x, "/")[[1]][2]))
+#M: total number of genes in each gene set
+M <- sapply(res_ora$BgRatio, function(x) as.numeric(strsplit(x, "/")[[1]][1]))
+#N: total number of genes assigned to at least one WikiPathway. Note, this number will be less than or equal to the total number of genes for which you have count data in the RNA-seq (gene expression) data set
+N <- sapply(res_ora$BgRatio, function(x) as.numeric(strsplit(x, "/")[[1]][2]))
+odds_ratio <- (k*(N-M-n+k))/((M-k)*(n-k))
+
+res_ora %<>% mutate(odds_ratio=odds_ratio)
+
+## view the first few rows of the results
+head(res_ora)
+
##       ID                                    Description GeneRatio  BgRatio
+## 1 WP2446                  Retinoblastoma Gene in Cancer   47/1022  86/4839
+## 2  WP466                                DNA Replication   26/1022  41/4839
+## 3 WP2361                       Gastric Cancer Network 1   16/1022  22/4839
+## 4  WP179                                     Cell Cycle   48/1022 115/4839
+## 5   WP45                     G1 to S cell cycle control   30/1022  61/4839
+## 6  WP289 Myometrial Relaxation and Contraction Pathways   46/1022 120/4839
+##         pvalue     p.adjust       qvalue
+## 1 6.082885e-12 3.011028e-09 2.817336e-09
+## 2 4.881223e-09 1.208103e-06 1.130388e-06
+## 3 2.877882e-07 4.208137e-05 3.937438e-05
+## 4 3.400515e-07 4.208137e-05 3.937438e-05
+## 5 9.280214e-07 9.187412e-05 8.596409e-05
+## 6 9.770180e-06 8.060399e-04 7.541894e-04
+##                                                                                                                                                                                                                                     geneID
+## 1 25/54443/890/891/9133/898/9134/993/8318/8317/983/1017/1019/81620/1111/1786/1869/1870/2189/24137/4173/4175/4176/2956/4609/4998/5111/10733/5426/5427/5557/5591/5928/5947/5983/5984/5985/6119/6241/6502/10592/3925/7027/7153/7272/7298/7465
+## 2                                                                                                    8318/990/8317/1017/81620/10926/55388/4171/4173/4174/4175/4176/4998/23594/5111/23649/5424/5426/5427/5557/5558/5982/5983/5984/5985/6119
+## 3                                                                                                                                                   86/6790/1063/144455/1894/56992/9585/286826/4173/4605/57122/8607/64094/7153/22974/11065
+## 4  25/699/9184/890/891/9133/894/898/9134/991/993/995/8318/990/8317/983/1017/1019/1028/1111/11200/10926/1869/1870/9700/4616/2932/3066/10459/4171/4173/4174/4175/4176/4609/4998/23594/5111/9088/5347/5591/9232/5933/6502/7027/7043/7272/7465
+## 5                                                                                      891/894/898/9134/993/8318/983/1017/1019/1028/90993/1869/1870/4171/4173/4174/4175/4176/4609/4998/23594/5111/23649/5426/5427/5557/5558/6119/7027/7465
+## 6        58/59/70/108/196883/111/115/408/467/489/800/817/1264/2353/2791/55970/54331/2788/2869/3488/3489/3569/3708/1902/23764/4846/5142/5144/11142/5331/5336/5577/5579/5590/10267/10266/10268/5996/8786/10287/5997/8490/8787/6262/6263/6546
+##   Count odds_ratio
+## 1    47   4.669717
+## 2    26   6.616600
+## 3    16  10.102054
+## 4    48   2.758283
+## 5    30   3.693418
+## 6    46   2.383944
+
res_ora %>%
+  write.csv(., "bladder_cancer_WikiPathways_ora.csv", row.names = FALSE)
+
+
+

Simultaneous Enrichment Analyses (SEA)

+

These analyses require as input the (unadjusted) p-values associated with differential expression for each gene.

+
# ##get estimates of the overall proportion of genes asssociated with the tumor vs normal comparison
+TDPestimate_full <- setTDP(diff.res$pvalue, universe_genes, alpha = 0.05)
+
+TDPestimate_full
+
## $TDP.bound
+## [1] 0.3419765
+## 
+## $TDP.estimate
+## [1] 0.5371005
+
##run rSEA method
+res_rSEA <- SEA(diff.res$pvalue, universe_genes, pathlist = wp_list)
+
+
+##add additional column named Name so that these results can be merged with the wp_annotation data frame
+res_rSEA %<>% mutate(set_id=Name)
+##get pathway names
+wp_id_2_names <- wp_annotation %>%
+  select(1,2) %>%
+  unique()
+
+res_rSEA %<>% merge(wp_id_2_names,.)
+
+##View the first few rows of the results. Note: SC.adjP represents the adjusted p-value for the significance of self-contained null hypothesis while Comp.adjP represents the adjusted p-values for the significance of the competitive null hypothesis
+res_rSEA %>% 
+  dplyr::slice(order(Comp.adjP)) %>%
+          head()
+
##   set_id                                                            name  ID
+## 1 WP1600                                             Nicotine Metabolism  38
+## 2 WP2276                                      Glial Cell Differentiation  88
+## 3 WP4030                   SCFA and skeletal muscle substrate metabolism 332
+## 4  WP334                                    GPCRs, Class B Secretin-like 210
+## 5 WP1991 SRF and miRs in Smooth Muscle Differentiation and Proliferation  60
+## 6  WP206                                      Fatty Acid Omega Oxidation  76
+##     Name Size Coverage TDP.bound TDP.estimate      SC.adjP    Comp.adjP
+## 1 WP1600    6     0.17 1.0000000          1.0 3.395060e-24 3.395060e-24
+## 2 WP2276    8     0.62 0.4000000          0.4 7.833862e-26 5.704479e-23
+## 3 WP4030    6     0.33 0.5000000          0.5 7.990408e-20 7.990408e-20
+## 4  WP334   24     0.17 0.5000000          0.5 3.065793e-21 1.609559e-18
+## 5 WP1991   13     0.69 0.8888889          1.0 5.372582e-24 1.169009e-14
+## 6  WP206   15     0.33 0.6000000          0.8 2.940210e-38 1.319281e-14
+
res_rSEA %>% dplyr::slice(order(Comp.adjP)) %>%
+  write.csv(., "bladder_cancer_WikiPathways_rSEA.csv", row.names = FALSE)
+
+
+

Significance Analyses of Function and Expression (SAFE)

+

These analyses require as input the normalized expression matrix of gene expression across all genes over all the 38 samples. The estimation of the significance of the association of a given gene set with the tumor vs normal comparison is based on permutation of the sample (tumor or normal) labels per subject.

+
##We will use the GSEABenchmarkeR package to run this analyses. The function requires as input a list of SummarizedExperiment objects which includes additional rowData giving the differential expression results
+
+tcga.de <- readRDS("bladder_cancer_tcga_summarized_experiment_w_de_results.rds")
+
+##Note the function runEA takes the raw data, normalizes the expression data using the vst function in DESeq2 that generates the variance stabilized transformed normalized data which is then used as input to the SAFE method
+##We will not run the analyses here because the 1000 permutations will take some time to complete
+# res_safe_sample_perm <- runEA(tcga.de, method="safe", gs=wp_list, perm=1000)
+# res_safe <- res_safe_sample_perm$safe[[1]]$ranking %>% as.data.frame()
+# res_safe %<>% mutate(set_id=GENE.SET)
+# res_safe %<>% merge(wp_id_2_names,.) %>% slice(order(PVAL))
+# res_safe %>%
+#   write.csv(., "bladder_cancer_WikiPathways_safe_sample_perm.csv", row.names = FALSE)
+
+##let us just read-in the results
+res_safe <- read.csv("bladder_cancer_WikiPathways_safe_sample_perm.csv", header = TRUE)
+##View the first few rows of the results
+head(res_safe)
+
##   set_id                                                            name
+## 1 WP1991 SRF and miRs in Smooth Muscle Differentiation and Proliferation
+## 2 WP2023                           Cell Differentiation - Index expanded
+## 3 WP1602                       Nicotine Activity on Dopaminergic Neurons
+## 4 WP2029                                    Cell Differentiation - Index
+## 5 WP3996                        Ethanol effects on histone modifications
+## 6  WP497                       Urea cycle and metabolism of amino groups
+##   GENE.SET GLOB.STAT NGLOB.STAT  PVAL
+## 1   WP1991     39300       4370 0.001
+## 2   WP2023     43100       3920 0.001
+## 3   WP1602     40000       3630 0.002
+## 4   WP2029     25100       4180 0.007
+## 5   WP3996     86700       3100 0.008
+## 6    WP497     52400       3280 0.008
+
+
+

Pathway Analysis with Down-weighting of Overlapping Genes (PADOG)

+

These analyses require as input the normalized expression matrix of gene expression across all genes over all the 38 samples. The estimation of the significance of the association of a given gene set with the tumor vs normal comparison is based on permutation of the sample (tumor or normal) labels per subject. This method includes the use of weights for each gene depending on its uniqueness to the gene set under consideration.

+
tcga.de <- readRDS("bladder_cancer_tcga_summarized_experiment_w_de_results.rds")
+
+##Note the function runEA takes the raw data, normalizes the expression data using the vst function in DESeq2 that generates the variance stabilized transformed normalized data which is then used as input to the SAFE method
+##We will not run the analyses here because the 1000 permutations will take some time to complete
+
+# res_padog_sample_perm <- runEA(tcga.de, method="padog", gs=wp_list, perm=1000)
+# res_padog <- res_padog_sample_perm$padog[[1]]$ranking %>% as.data.frame()
+# res_padog %<>% mutate(set_id=GENE.SET)
+# res_padog %<>% merge(wp_id_2_names,.) %>% slice(order(PVAL))
+# res_padog %>%
+#   write.csv(., "bladder_cancer_WikiPathways_padog_sample_perm.csv", row.names = FALSE)
+
+##let us just read-in the results
+res_padog <- read.csv("bladder_cancer_WikiPathways_padog_sample_perm.csv", header = TRUE)
+##View the first few rows of the results
+head(res_padog)
+
##   set_id                                                            name
+## 1 WP2023                           Cell Differentiation - Index expanded
+## 2 WP2029                                    Cell Differentiation - Index
+## 3 WP1991 SRF and miRs in Smooth Muscle Differentiation and Proliferation
+## 4 WP2355               Corticotropin-releasing hormone signaling pathway
+## 5 WP2361                                        Gastric Cancer Network 1
+## 6 WP4300        Extracellular vesicles in the crosstalk of cardiac cells
+##   GENE.SET MEAN.ABS.T0 PADOG0 P.MEAN.ABS.T    PVAL
+## 1   WP2023        4.65  3.970      0.00200 0.00001
+## 2   WP2029        4.49  3.780      0.00001 0.00001
+## 3   WP1991        5.77  4.980      0.00200 0.00100
+## 4   WP2355        2.65  0.539      0.01600 0.00500
+## 5   WP2361        5.83  5.940      0.02000 0.01200
+## 6   WP4300        2.98  1.790      0.02500 0.01300
+
+
+

Gene Set Enrichment Analyses (GSEA) with sample permutation

+

These analyses require as input the normalized expression matrix of gene expression across all genes over all the 38 samples. The estimation of the significance of the association of a given gene set with the tumor vs normal comparison is based on permutation of the sample (tumor or normal) labels per subject.

+
tcga.de <- readRDS("bladder_cancer_tcga_summarized_experiment_w_de_results.rds")
+
+##Note the function runEA takes the raw data, normalizes the expression data using the vst function in DESeq2 that generates the variance stabilized transformed normalized data which is then used as input to the SAFE method
+##We will not run the analyses here because the 1000 permutations will take some time to complete
+
+# res_gsea_sample_perm <- runEA(tcga.de, method="gsea", gs=wp_list, perm=1000)
+# res_gsea <- res_gsea_sample_perm$gsea[[1]]$ranking %>% as.data.frame()
+# res_gsea %<>% mutate(set_id=GENE.SET)
+# res_gsea %<>% merge(wp_id_2_names,.) %>% slice(order(PVAL))
+# res_gsea %>%
+#   write.csv(., "bladder_cancer_WikiPathways_gsea_sample_perm.csv", row.names = FALSE)
+
+##let us just read-in the results
+res_gsea <- read.csv("bladder_cancer_WikiPathways_gsea_sample_perm.csv", header = TRUE)
+##View the first few rows of the results
+head(res_gsea)
+
##   set_id
+## 1  WP289
+## 2 WP3414
+## 3  WP706
+## 4   WP98
+## 5 WP3981
+## 6  WP536
+##                                                                      name
+## 1                          Myometrial Relaxation and Contraction Pathways
+## 2 Initiation of transcription and translation elongation at the HIV-1 LTR
+## 3             Sudden Infant Death Syndrome (SIDS) Susceptibility Pathways
+## 4                                  Prostaglandin Synthesis and Regulation
+## 5                  miRNA regulation of prostate cancer signaling pathways
+## 6                                  Calcium Regulation in the Cardiac Cell
+##   GENE.SET     ES   NES    PVAL
+## 1    WP289 -0.593 -1.73 0.00000
+## 2   WP3414 -0.584 -1.75 0.00000
+## 3    WP706 -0.521 -1.74 0.00000
+## 4     WP98 -0.667 -1.65 0.00000
+## 5   WP3981 -0.528 -1.76 0.00191
+## 6    WP536 -0.561 -1.70 0.00192
+
+
+

Gene Set Enrichment Analyses (GSEA) with gene permutation

+

These analyses require as input a score for each gene. The larger the absolute value of the score for a gene is the more the evidence of the strength of the association of the expression of the gene with the tumor vs normal comparison. The estimation of the significance of the association of a given gene set with the tumor vs normal comparison is based on permutation of the gene labels.

+
##generate a score for each gene that is equal to -log10(pvalue) in absolute value and whose sign is equal to that of the log FC - positive for up-regulated genes while negative for down-regulated genes
+gene_list <- diff.res %>%
+  as.data.frame() %>%
+  rownames_to_column('Gene') %>%
+  mutate(Score = sign(as.numeric(log2FoldChange)) * - log10(as.numeric(as.character(pvalue)))) %>%
+  select(c("Score","Gene")) %>%
+  arrange(desc(Score))
+
+gene_list <- unlist(split(gene_list[, 1], gene_list[, 2]))
+gene_list = sort(gene_list[unique(names(gene_list))], decreasing = TRUE)
+
+head(gene_list)
+
##     4320    54058    55083     7516     1301     6493 
+## 31.86522 25.39709 25.11739 24.17312 23.57965 22.07034
+
tail(gene_list)
+
##      5348    286133      7123      1675    146556    221476 
+## -49.63643 -51.47116 -52.89205 -57.51413 -67.19160 -86.68870
+
##run the gene perm version of gsea
+res_gsea_gene_perm <- clusterProfiler::GSEA(
+  gene_list,
+  pAdjustMethod="BH",
+  TERM2GENE = wp_annotation[,c("set_id","gene")],
+  TERM2NAME = wp_annotation[,c("set_id","name")]    ,
+  minGSSize = 1,
+  maxGSSize = 100000,
+  pvalueCutoff = 1,
+  verbose=FALSE)
+
+res_gsea_gene_perm <- res_gsea_gene_perm@result
+
+##view the first few rows of the results
+head(res_gsea_gene_perm)
+
##            ID                                    Description setSize
+## WP3888 WP3888                 VEGFA-VEGFR2 Signaling Pathway     403
+## WP4172 WP4172                     PI3K-Akt Signaling Pathway     252
+## WP3932 WP3932 Focal Adhesion-PI3K-Akt-mTOR-signaling pathway     243
+## WP2882 WP2882                 Nuclear Receptors Meta-Pathway     222
+## WP382   WP382                         MAPK Signaling Pathway     195
+## WP306   WP306                                 Focal Adhesion     173
+##        enrichmentScore       NES      pvalue   p.adjust    qvalues rank
+## WP3888      -0.4627917 -1.492921 0.001041667 0.03638752 0.02744793 2506
+## WP4172      -0.5049345 -1.588244 0.001088139 0.03638752 0.02744793 2187
+## WP3932      -0.5152809 -1.616262 0.001094092 0.03638752 0.02744793 2187
+## WP2882      -0.5290426 -1.648267 0.001116071 0.03638752 0.02744793 1655
+## WP382       -0.5817051 -1.798170 0.001129944 0.03638752 0.02744793 1531
+## WP306       -0.5635541 -1.724448 0.001144165 0.03638752 0.02744793 2687
+##                          leading_edge
+## WP3888 tags=29%, list=20%, signal=24%
+## WP4172 tags=31%, list=18%, signal=26%
+## WP3932 tags=29%, list=18%, signal=24%
+## WP2882 tags=22%, list=13%, signal=19%
+## WP382  tags=23%, list=12%, signal=21%
+## WP306  tags=40%, list=22%, signal=32%
+##                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                       core_enrichment
+## WP3888 6154/9209/2185/5867/301/468/6129/5970/2746/4673/2887/6595/1466/2022/6093/4641/23291/9444/3688/57758/9261/5784/4303/3142/9734/26058/6778/4855/5170/3791/8828/5578/6461/4773/10628/154796/4792/6648/4790/1432/25759/5803/2152/355/80031/3490/5587/8665/27289/5743/23189/4736/3725/51574/5908/152273/2549/6125/7414/5906/1397/2078/9252/4846/5563/11080/6886/6386/4772/22943/2308/56999/25/2534/6546/9365/781/3690/57326/154/1847/7220/4629/1839/9759/6401/5592/51309/1003/326624/6347/596/1465/1901/1827/32/10014/22899/114789/857/91624/84952/274/6722/4208/9079/1958/5579/7111/1960/9510/4929/57381/7148/10231/8013/81575/3164
+## WP4172                                                                                                                                                                                                                    5728/9180/3716/55012/5170/57521/7424/3791/5578/3672/4254/1299/10161/3566/1436/7057/4790/1435/3574/3910/2323/10681/1026/7099/6446/4170/55970/3717/1975/7450/54331/4846/5563/284/7010/1291/4609/1288/5156/10000/3570/3690/4915/3913/3678/3563/5521/3680/90993/9586/5516/3815/1292/3082/3479/5525/80310/2260/3679/1286/627/596/1902/894/2690/10319/2258/3908/1440/2252/4804/2247/5649/2788/2791/8516/3569/7148
+## WP3932                                                                                                                                                                                                                                                5728/9180/3716/55012/5170/57521/7424/3791/4254/2034/10161/3566/8660/1436/7057/51719/23216/1435/3910/81617/1026/55970/3717/1975/7450/54331/4846/5563/2308/284/7010/1288/5156/10000/3570/3690/3913/3678/3563/5521/3680/6515/90993/9586/5516/3815/1292/3082/3479/5525/80310/2260/3679/1286/1902/2690/10319/2258/10891/3908/1440/2252/4804/64344/2247/5649/2788/6517/2791/8516/7148
+## WP2882                                                                                                                                                                                                                                                                                                                                                                      4240/8824/4780/60482/6594/5743/3725/5465/11214/34/2040/2308/4609/8850/5552/2908/2099/80315/3726/5244/6515/4616/1028/1066/1839/5243/330/3082/10486/23764/89795/6347/2258/10891/2289/1831/2042/2949/7049/5142/1958/6649/7048/3727/6517/10252/2878/5997/5166
+## WP382                                                                                                                                                                                                                                                                                                                                                                                                  355/1845/1844/4137/3725/5908/5602/55970/5906/9252/4772/775/7043/4609/10000/781/4915/6237/408/785/783/2260/1850/1326/5532/627/3306/9020/2316/8912/2258/2252/5533/6722/4208/120892/2247/10235/2353/8605/7048/2318/3727/1843/3164
+## WP306                                                                                                                                                                                                                                                                     5159/2268/858/387/2889/7409/9475/7423/3915/7408/6093/3688/1793/5728/394/5170/7424/83660/3791/5578/5500/3672/2909/7057/60/4659/25759/3910/23396/54776/87/3725/5908/5602/7414/5906/7450/7791/7094/1288/2534/3611/55742/5156/10000/3690/3913/3678/3680/1292/330/3082/3479/80310/3679/1286/596/894/2316/10319/3908/857/4660/10398/4638/5649/2318/5579/8516/7148
+
res_gsea_gene_perm %>%
+  write.csv(., "bladder_cancer_WikiPathways_gsea_gene_perm.csv", row.names = FALSE)
+
+
+
+ + + + +
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I^1;;q0}p?{C;$Ke diff --git a/statistics-enrichment-analysis/association_results/bladder_cancer_WikiPathways_gsea_gene_perm.csv b/statistics-enrichment-analysis/association_results/bladder_cancer_WikiPathways_gsea_gene_perm.csv new file mode 100644 index 0000000..ca34a97 --- /dev/null +++ b/statistics-enrichment-analysis/association_results/bladder_cancer_WikiPathways_gsea_gene_perm.csv @@ -0,0 +1,555 @@ +"ID","Description","setSize","enrichmentScore","NES","pvalue","p.adjust","qvalues","rank","leading_edge","core_enrichment" +"WP3888","VEGFA-VEGFR2 Signaling Pathway",403,-0.462791684122784,-1.49292146323601,0.00104166666666667,0.0363875205254516,0.0274479301702532,2506,"tags=29%, list=20%, signal=24%","6154/9209/2185/5867/301/468/6129/5970/2746/4673/2887/6595/1466/2022/6093/4641/23291/9444/3688/57758/9261/5784/4303/3142/9734/26058/6778/4855/5170/3791/8828/5578/6461/4773/10628/154796/4792/6648/4790/1432/25759/5803/2152/355/80031/3490/5587/8665/27289/5743/23189/4736/3725/51574/5908/152273/2549/6125/7414/5906/1397/2078/9252/4846/5563/11080/6886/6386/4772/22943/2308/56999/25/2534/6546/9365/781/3690/57326/154/1847/7220/4629/1839/9759/6401/5592/51309/1003/326624/6347/596/1465/1901/1827/32/10014/22899/114789/857/91624/84952/274/6722/4208/9079/1958/5579/7111/1960/9510/4929/57381/7148/10231/8013/81575/3164" +"WP4172","PI3K-Akt Signaling Pathway",252,-0.504934506863715,-1.58824388696871,0.00108813928182807,0.0363875205254516,0.0274479301702532,2187,"tags=31%, list=18%, signal=26%","5728/9180/3716/55012/5170/57521/7424/3791/5578/3672/4254/1299/10161/3566/1436/7057/4790/1435/3574/3910/2323/10681/1026/7099/6446/4170/55970/3717/1975/7450/54331/4846/5563/284/7010/1291/4609/1288/5156/10000/3570/3690/4915/3913/3678/3563/5521/3680/90993/9586/5516/3815/1292/3082/3479/5525/80310/2260/3679/1286/627/596/1902/894/2690/10319/2258/3908/1440/2252/4804/2247/5649/2788/2791/8516/3569/7148" +"WP3932","Focal Adhesion-PI3K-Akt-mTOR-signaling pathway",243,-0.515280852572342,-1.61626208499425,0.00109409190371991,0.0363875205254516,0.0274479301702532,2187,"tags=29%, list=18%, signal=24%","5728/9180/3716/55012/5170/57521/7424/3791/4254/2034/10161/3566/8660/1436/7057/51719/23216/1435/3910/81617/1026/55970/3717/1975/7450/54331/4846/5563/2308/284/7010/1288/5156/10000/3570/3690/3913/3678/3563/5521/3680/6515/90993/9586/5516/3815/1292/3082/3479/5525/80310/2260/3679/1286/1902/2690/10319/2258/10891/3908/1440/2252/4804/64344/2247/5649/2788/6517/2791/8516/7148" +"WP2882","Nuclear Receptors Meta-Pathway",222,-0.529042570431749,-1.64826733186755,0.00111607142857143,0.0363875205254516,0.0274479301702532,1655,"tags=22%, list=13%, signal=19%","4240/8824/4780/60482/6594/5743/3725/5465/11214/34/2040/2308/4609/8850/5552/2908/2099/80315/3726/5244/6515/4616/1028/1066/1839/5243/330/3082/10486/23764/89795/6347/2258/10891/2289/1831/2042/2949/7049/5142/1958/6649/7048/3727/6517/10252/2878/5997/5166" +"WP382","MAPK Signaling Pathway",195,-0.581705105571315,-1.79816996071903,0.00112994350282486,0.0363875205254516,0.0274479301702532,1531,"tags=23%, list=12%, signal=21%","355/1845/1844/4137/3725/5908/5602/55970/5906/9252/4772/775/7043/4609/10000/781/4915/6237/408/785/783/2260/1850/1326/5532/627/3306/9020/2316/8912/2258/2252/5533/6722/4208/120892/2247/10235/2353/8605/7048/2318/3727/1843/3164" +"WP306","Focal Adhesion",173,-0.563554095940283,-1.72444812849595,0.0011441647597254,0.0363875205254516,0.0274479301702532,2687,"tags=40%, list=22%, signal=32%","5159/2268/858/387/2889/7409/9475/7423/3915/7408/6093/3688/1793/5728/394/5170/7424/83660/3791/5578/5500/3672/2909/7057/60/4659/25759/3910/23396/54776/87/3725/5908/5602/7414/5906/7450/7791/7094/1288/2534/3611/55742/5156/10000/3690/3913/3678/3680/1292/330/3082/3479/80310/3679/1286/596/894/2316/10319/3908/857/4660/10398/4638/5649/2318/5579/8516/7148" +"WP4223","Ras Signaling",142,-0.525682204537404,-1.5751526046082,0.00118906064209275,0.0363875205254516,0.0274479301702532,3203,"tags=43%, list=26%, signal=32%","5293/2113/5601/5567/5595/5869/8503/22800/6655/805/83593/64926/5321/5159/81579/387/91860/51365/2324/808/5970/801/5900/4303/8831/22808/3791/5578/11186/1436/4790/25759/9846/8036/2114/10681/5908/5602/2549/55970/5906/54331/5336/7010/25/22821/5156/10000/4915/6237/3815/2260/10156/5320/23179/4804/10235/8605/5579/2788/2791" +"WP3929","Chemokine signaling pathway",124,-0.530461119643853,-1.57190665721361,0.00120918984280532,0.0363875205254516,0.0274479301702532,1891,"tags=27%, list=15%, signal=23%","4792/7454/3702/7852/23236/4790/25759/6363/9547/10681/3579/2770/5908/55970/9844/3717/5906/108/54331/10000/6777/6366/408/2869/5332/6376/115/196883/6387/10235/5579/2788/2791/111" +"WP289","Myometrial Relaxation and Contraction Pathways",120,-0.711645314331361,-2.09559070147585,0.00121951219512195,0.0363875205254516,0.0274479301702532,1562,"tags=40%, list=13%, signal=35%","3487/2114/5587/10681/3725/55970/108/3488/54331/4846/817/5336/6546/8787/10266/5996/6262/8786/800/408/489/58/2869/23764/10268/11142/5577/1902/467/5144/115/6263/3489/196883/59/10267/70/8490/5142/2353/3708/5579/2788/2791/111/5997/3569/1264" +"WP536","Calcium Regulation in the Cardiac Cell",107,-0.660848965792059,-1.92235988951507,0.00122699386503067,0.0363875205254516,0.0274479301702532,1596,"tags=36%, list=13%, signal=32%","2767/844/5587/10681/2770/55970/108/54331/817/775/6546/8787/5996/6262/154/8786/2701/408/489/2781/2869/11142/5577/2775/115/6263/196883/309/57165/5350/8490/845/482/3708/5579/2788/2791/111/5997" +"WP706","Sudden Infant Death Syndrome (SIDS) Susceptibility Pathways",100,-0.580112717768676,-1.67392091802786,0.00123456790123457,0.0363875205254516,0.0274479301702532,1241,"tags=27%, list=10%, signal=24%","3725/34/23171/4204/6640/291/3570/4915/133522/6262/2908/6095/6844/5577/627/7259/6330/3757/10891/1390/6869/4208/1958/7434/11076/3569/5354" +"WP236","Adipogenesis",104,-0.613156949875672,-1.7724263819813,0.00123609394313968,0.0363875205254516,0.0274479301702532,2137,"tags=41%, list=17%, signal=34%","6778/652/23175/1647/2034/183/6776/8660/81029/4000/355/1026/4205/3976/2487/5465/55847/2308/28999/4154/6777/2908/6095/4616/1052/1959/4692/3479/5914/25937/3977/1316/9021/5740/7025/3572/10891/4208/4209/1879/6517/3569/1675" +"WP35","G Protein Signaling Pathways",76,-0.679108269914708,-1.89534402071217,0.00131233595800525,0.0363875205254516,0.0274479301702532,1670,"tags=39%, list=14%, signal=34%","11215/5153/2767/5587/10681/2770/55970/11214/108/9465/6237/2781/9630/9472/5577/27115/9590/5144/2775/115/196883/5533/2774/5142/5136/3708/5579/2788/2791/111" +"WP2355","Corticotropin-releasing hormone signaling pathway",73,-0.644471493229881,-1.78788402195755,0.00132450331125828,0.0363875205254516,0.0274479301702532,1683,"tags=34%, list=14%, signal=30%","4790/1432/2767/10681/7099/2770/5908/4846/5563/8061/5336/6925/3726/408/2781/10411/596/2775/8912/2353/3727/5579/4929/2354/3164" +"WP2806","Human Complement System",63,-0.66087804735839,-1.79187590794092,0.00134228187919463,0.0363875205254516,0.0274479301702532,2111,"tags=44%, list=17%, signal=37%","727/5578/1604/7454/7057/11326/3384/2219/5621/966/710/716/3690/3075/22918/5627/6401/715/718/6403/5806/2162/1634/5648/5199/730/2159/1675" +"WP455","GPCRs, Class A Rhodopsin-like",58,-0.639879635527298,-1.71711321066538,0.00135869565217391,0.0363875205254516,0.0274479301702532,2170,"tags=38%, list=18%, signal=31%","4886/1131/10161/1240/7852/2857/23637/3579/6915/152/8477/5734/154/5733/1909/150/623/624/9934/5737/1910/185" +"WP2118","Arrhythmogenic Right Ventricular Cardiomyopathy",56,-0.684700919154161,-1.82460654198067,0.00137741046831956,0.0363875205254516,0.0274479301702532,1778,"tags=39%, list=14%, signal=34%","83439/60/2010/4000/87/6443/775/6546/6444/781/3690/6262/3678/3680/785/783/3679/1756/3908/1674/8516/6442" +"WP2849","Hematopoietic Stem Cell Differentiation",43,-0.67034141801554,-1.73583915337319,0.00140646976090014,0.0363875205254516,0.0274479301702532,2112,"tags=47%, list=17%, signal=39%","4005/4254/79366/4773/6776/7852/1435/10320/399/3690/2313/3071/863/3757/1440/2353/947/3569/7148/2354" +"WP558","Complement and Coagulation Cascades",39,-0.745125593798936,-1.90284177138585,0.00142247510668563,0.0363875205254516,0.0274479301702532,1220,"tags=38%, list=10%, signal=35%","7450/710/716/3075/7035/5627/2157/715/718/623/1191/5648/730/2159/1675" +"WP98","Prostaglandin Synthesis and Regulation",37,-0.761060835875943,-1.93791389367576,0.00142247510668563,0.0363875205254516,0.0274479301702532,1600,"tags=46%, list=13%, signal=40%","308/3290/3248/5743/6915/5734/133522/5733/4286/1909/5740/10891/5730/309/5737/1910/5742" +"WP4149","White fat cell differentiation",30,-0.734621214684463,-1.78520995103201,0.00151745068285281,0.0363875205254516,0.0274479301702532,1825,"tags=50%, list=15%, signal=43%","6776/83439/3662/23090/2308/28999/6777/2908/6095/1052/1959/5914/9314/1879/10365" +"WP383","Striated Muscle Contraction Pathway",23,-0.821283572235296,-1.90691582895276,0.00152439024390244,0.0363875205254516,0.0274479301702532,698,"tags=52%, list=6%, signal=49%","7139/58/7431/7168/1756/7169/59/10398/70/8736/7111/1674" +"WP170","Nuclear Receptors",29,-0.793339860748143,-1.91111582812928,0.00153139356814701,0.0363875205254516,0.0274479301702532,1314,"tags=41%, list=11%, signal=37%","2494/5465/2908/6095/2099/7067/5914/4919/7025/5241/4929/3164" +"WP3893","Development and heterogeneity of the ILC family",18,-0.803262668097291,-1.74375797527922,0.0016,0.0363875205254516,0.0274479301702532,1621,"tags=56%, list=13%, signal=48%","3574/4783/374/9760/6095/3398/85480/90865/7704/3569" +"WP545","Complement Activation",15,-0.852488029806488,-1.78174120099361,0.00164203612479475,0.0363875205254516,0.0274479301702532,973,"tags=47%, list=8%, signal=43%","716/715/718/5648/5199/730/1675" +"WP2366","Butyrate-induced histone acetylation",2,0.99245902741194,1.42702316343119,0.00200400801603206,0.0427007861877601,0.0322101693265073,49,"tags=50%, list=0%, signal=50%","47" +"WP481","Insulin Signaling",150,-0.506173983161364,-1.52215372656681,0.00235571260306243,0.046028580923895,0.0347204002029001,1784,"tags=20%, list=15%, signal=17%","8660/10938/1432/2992/3799/25759/6446/3725/5602/2549/5167/9252/5563/6812/2308/4215/1326/6844/9021/6236/9020/6196/30846/6722/1958/2353/10580/5579/6517/57381" +"WP3594","Circadian rhythm related genes",138,-0.514116761839872,-1.53463022711246,0.00239520958083832,0.046028580923895,0.0347204002029001,1718,"tags=24%, list=14%, signal=21%","23373/7316/2767/355/114781/6500/3725/26224/5602/4783/5465/5563/7071/1471/6095/3398/3400/8863/23411/9099/3778/10891/1390/5730/4804/8864/1958/1408/3727/1960/3569/687/5187" +"WP4240","Regulation of sister chromatid separation at the metaphase-anaphase transition",15,0.817074347545397,1.88120452658206,0.00254452926208651,0.046028580923895,0.0347204002029001,675,"tags=53%, list=6%, signal=50%","991/699/701/1062/4085/9700/9232/9184" +"WP2328","Allograft Rejection",62,-0.611695546067999,-1.65863873075632,0.00267022696929239,0.046028580923895,0.0347204002029001,2744,"tags=37%, list=22%, signal=29%","3123/3127/3113/712/3115/3111/3108/842/727/1604/940/6363/355/5156/6366/5243/7431/718/6387/120892/185/730/23743" +"WP531","DNA Mismatch Repair",21,0.843167010261677,2.13563192725278,0.00272479564032698,0.046028580923895,0.0347204002029001,1385,"tags=62%, list=11%, signal=55%","5424/5985/9156/4436/5984/3978/5111/5982/6119/5983/2956/5395/5425" +"WP2361","Gastric Cancer Network 1",22,0.881905616185124,2.26199078205191,0.00280112044817927,0.046028580923895,0.0347204002029001,360,"tags=68%, list=3%, signal=66%","6790/1063/11065/56992/7153/4605/22974/144455/86/1894/4173/57122/9585/8607/286826" +"WP2363","Gastric Cancer Network 2",29,0.759734189615142,2.08343199470384,0.00286532951289398,0.046028580923895,0.0347204002029001,613,"tags=38%, list=5%, signal=36%","55215/63922/11065/7153/29089/5984/29028/84823/27101/5983/79075" +"WP4752","Base Excision Repair",30,0.781189558713735,2.14866418678642,0.00291545189504373,0.046028580923895,0.0347204002029001,1470,"tags=50%, list=12%, signal=44%","5424/23583/2237/5427/3978/5426/5111/7374/4595/10038/11284/6996/27301/5425/328" +"WP4222","Phosphodiesterases in neuronal function",31,-0.72750945670304,-1.77849793999341,0.00303030303030303,0.046028580923895,0.0347204002029001,1607,"tags=45%, list=13%, signal=39%","5153/5139/108/5140/27115/84152/5144/115/196883/8654/5142/5136/5138/111" +"WP2516","ATM Signaling Pathway",37,0.722976864053179,2.07909842918551,0.00334448160535117,0.046028580923895,0.0347204002029001,886,"tags=38%, list=7%, signal=35%","835/898/995/672/891/5888/983/993/1111/637/2177/1017/11200/5883" +"WP4290","Metabolic reprogramming in colon cancer",39,0.650339438615221,1.89824335654321,0.00334448160535117,0.046028580923895,0.0347204002029001,2135,"tags=41%, list=17%, signal=34%","5831/47/6472/2194/10606/2023/5471/2618/5723/22934/29968/5226/5230/2597/2821/9123" +"WP4754","IL-18 signaling pathway",222,-0.46719058505988,-1.4555633556707,0.00334821428571429,0.046028580923895,0.0347204002029001,2192,"tags=29%, list=18%, signal=24%","80149/5728/8698/57521/5834/5578/4254/3831/51222/4792/948/1938/8153/81618/7128/4790/7052/379/5803/56257/6363/8837/355/51341/80031/84818/770/8870/5743/3725/64332/4205/7185/22821/7078/83931/10194/7832/1112/51299/4776/58/330/11096/9208/2920/975/6347/26353/596/9021/467/10418/5806/3757/32/6869/274/59/2353/5579/1674/3569/10365/3164" +"WP466","DNA Replication",41,0.846456079198003,2.49474634065957,0.00341296928327645,0.046028580923895,0.0347204002029001,1428,"tags=76%, list=12%, signal=67%","4998/5424/4171/5985/990/8318/8317/55388/23594/81620/4173/10926/5427/5984/5426/5111/5982/6119/1017/5558/5557/23649/4176/5983/4175/4174/5001/4172/51053/5425/4999" +"WP1971","Integrated Cancer Pathway",43,0.653015909410761,1.94355049974829,0.00343642611683849,0.046028580923895,0.0347204002029001,854,"tags=33%, list=7%, signal=30%","641/672/5347/983/4436/993/1111/1869/5451/1017/1019/4312/11200/2956" +"WP4753","Nucleotide Excision Repair",43,0.666293811275025,1.98306909712394,0.00343642611683849,0.046028580923895,0.0347204002029001,498,"tags=23%, list=4%, signal=22%","5424/5985/5427/5984/3978/5426/5111/5982/6119/5983" +"WP3959","DNA IR-Double Strand Breaks (DSBs) and cellular response via ATM",52,0.654701382215583,2.0441135050262,0.00354609929078014,0.046028580923895,0.0347204002029001,1429,"tags=37%, list=12%, signal=32%","1020/9156/641/995/672/5888/86/675/1111/1869/637/2177/5111/11200/5591/5883/317/581/10155" +"WP45","G1 to S cell cycle control",61,0.685587337829529,2.1995751010812,0.00374531835205993,0.046028580923895,0.0347204002029001,1428,"tags=49%, list=12%, signal=44%","4998/898/4171/8318/9134/891/23594/983/4173/993/5427/1869/5426/5111/6119/1017/5558/5557/23649/1870/1019/4176/7027/4175/4174/1871/5001/4172/148327/4999" +"WP183","Proteasome Degradation",58,0.515932034207858,1.63483847206574,0.0037593984962406,0.046028580923895,0.0347204002029001,2480,"tags=41%, list=20%, signal=33%","5709/5690/6185/5717/6184/5691/5693/5688/5692/5708/5685/5686/5721/5714/7321/5687/5718/5683/5706/5704/5710/10197/7317/5695" +"WP2431","Spinal Cord Injury",90,-0.572440468952739,-1.63236239454608,0.00377833753148615,0.046028580923895,0.0347204002029001,1199,"tags=27%, list=10%, signal=24%","7099/5743/56963/4609/1464/7832/9423/7431/2920/6347/627/6403/5320/9353/388/6869/4804/1958/2353/358/6586/7538/3569/3164" +"WP707","DNA Damage Response",62,0.63345814777894,2.02657439950036,0.00395256916996047,0.046028580923895,0.0347204002029001,886,"tags=31%, list=7%, signal=29%","1020/898/995/672/9134/9133/891/5888/983/993/1111/1869/637/2177/1017/1019/11200/5591/5883" +"WP1530","miRNA Regulation of DNA Damage Response",64,0.63560810177656,2.02952026239957,0.00401606425702811,0.046028580923895,0.0347204002029001,886,"tags=31%, list=7%, signal=29%","1020/898/995/672/9134/9133/891/5888/983/993/1111/1869/637/2177/1017/1019/4176/11200/5591/5883" +"WP4016","DNA IR-damage and cellular response via ATR",75,0.760155956927704,2.53170925712447,0.00413223140495868,0.046028580923895,0.0347204002029001,1131,"tags=43%, list=9%, signal=39%","2305/55215/63967/4171/9156/8318/995/2175/672/5347/5888/83990/983/675/4436/1111/2237/55159/1869/2177/5111/1196/1017/79728/80010/11073/11200/5591/55775/5883/9521/9937" +"WP410","Exercise-induced Circadian Regulation",44,-0.639139699850929,-1.66231682685446,0.00418410041841004,0.046028580923895,0.0347204002029001,1205,"tags=23%, list=10%, signal=21%","50486/5813/5516/11030/2674/8864/1408/7122/687/5187" +"WP1541","Energy Metabolism",42,-0.64632675153625,-1.66464566680558,0.00422535211267606,0.046028580923895,0.0347204002029001,1322,"tags=31%, list=11%, signal=28%","1432/4205/5465/5563/2308/133522/51422/5532/23411/10891/5533/4208/4209" +"WP4022","Pyrimidine metabolism",79,0.591516775875115,1.97457796170619,0.00423728813559322,0.046028580923895,0.0347204002029001,1906,"tags=35%, list=16%, signal=30%","5424/4830/7083/5427/6241/5437/5426/5558/1841/790/5557/7298/54963/23649/87178/5436/7371/5433/84172/10201/1890/79077/129607/5425/25885/5422/7372/5439" +"WP1528","Physiological and Pathological Hypertrophy of the Heart",24,-0.720931513879714,-1.69304310836266,0.00451807228915663,0.0481348470806302,0.0363092044290522,2941,"tags=79%, list=24%, signal=60%","6774/5606/805/5581/5530/387/1489/801/183/50804/1432/3725/817/4776/3977/5532/3572/2353/5579" +"WP4719","Eicosanoid metabolism via Cyclo Oxygenases (COX)",21,-0.764734878027421,-1.72266026175418,0.0047244094488189,0.0493233618233618,0.0372057279952017,1433,"tags=38%, list=12%, signal=34%","3248/5743/6915/5740/5730/5737/8309/5742" +"WP2446","Retinoblastoma Gene in Cancer",86,0.778790413293543,2.60647947921743,0.00480769230769231,0.0493233618233618,0.0372057279952017,854,"tags=50%, list=7%, signal=47%","24137/4998/898/5985/7272/7153/8318/8317/9134/9133/891/2189/81620/983/4173/10733/993/6502/890/1111/54443/5427/6241/1869/5984/1786/5426/5111/6119/1017/3925/5557/7298/1870/1019/4176/5983/7027/10592/4175/5928/5591/2956" +"WP179","Cell Cycle",115,0.67352923441135,2.39594113780755,0.00546448087431694,0.0546566692975533,0.0412287625140199,779,"tags=36%, list=6%, signal=34%","4998/898/4171/7272/990/8318/8317/991/995/5347/699/9134/9133/891/23594/983/9088/4173/10926/993/6502/890/1111/5933/1869/9700/5111/9232/1017/1870/3066/1019/4176/7027/10459/4175/9184/2932/11200/4174/5591" +"WP411","mRNA Processing",122,0.492406310910327,1.76034403509172,0.00552486187845304,0.0546566692975533,0.0412287625140199,2226,"tags=34%, list=18%, signal=28%","51692/9343/6628/6632/1196/3191/5496/6636/6635/10772/6637/5725/56339/29894/6626/1478/4841/55660/51690/6627/1659/11338/9410/53981/6625/8683/10236/57819/3181/10898/6634/6426/1477/8106/1479/23450/8175/6629/8449/3276/6633/1660" +"WP408","Oxidative Stress",29,-0.705190779022085,-1.69876912319646,0.00612557427258806,0.0595362832809435,0.0449095657657887,1847,"tags=34%, list=15%, signal=29%","6648/4790/1432/4780/5602/3726/4784/2353/6649/2878" +"WP1984","Integrated Breast Cancer Pathway",143,0.412990391457822,1.49046424149869,0.00625,0.059698275862069,0.0450317604355717,854,"tags=16%, list=7%, signal=15%","6790/8438/641/79902/672/5347/5888/26284/675/4436/993/1111/7517/1869/637/1017/1019/6597/4312/55526/27005/11200/2956" +"WP4560","MFAP5 effect on permeability and motility of endothelial cells via cytoskeleton rearrangement",17,-0.775809358119203,-1.66309595715165,0.00644122383252818,0.0602785434498767,0.0454694694083242,1404,"tags=47%, list=11%, signal=42%","87/3725/7414/3690/4026/8076/4638/3708" +"WP554","ACE Inhibitor Pathway",11,-0.85530951024262,-1.68934168839734,0.00661157024793388,0.0602785434498767,0.0454694694083242,308,"tags=55%, list=3%, signal=53%","4846/623/624/4306/185/1511" +"WP2338","miRNA Biogenesis",6,0.879053726567659,1.64496424677402,0.00663716814159292,0.0602785434498767,0.0454694694083242,571,"tags=50%, list=5%, signal=48%","6895/57510/5901" +"WP2276","Glial Cell Differentiation",5,-0.920932317124545,-1.55415561317042,0.0072992700729927,0.0636867012817811,0.0480403199864471,77,"tags=80%, list=1%, signal=80%","4155/4478/11076/5354" +"WP1591","Heart Development",30,-0.681766389246273,-1.65676694061222,0.00758725341426404,0.0636867012817811,0.0480403199864471,2090,"tags=53%, list=17%, signal=44%","4089/650/7423/652/7424/4773/23493/657/5308/6910/4772/4776/9464/2627/6722/4208" +"WP1600","Nicotine Metabolism",1,-0.995107233140341,-1.33374921644582,0.00760456273764259,0.0636867012817811,0.0480403199864471,62,"tags=100%, list=1%, signal=100%","" +"WP3969","H19 action Rb-E2F1 signaling and CDK-Beta-catenin activity",14,0.758935770206651,1.72082838746272,0.00767263427109974,0.0636867012817811,0.0480403199864471,487,"tags=21%, list=4%, signal=21%","6659/1869/1019" +"WP3298","Melatonin metabolism and effects",26,-0.695722684462236,-1.6436047371393,0.00769230769230769,0.0636867012817811,0.0480403199864471,542,"tags=23%, list=4%, signal=22%","2308/8863/23411/8864/1408/5187" +"WP69","T-Cell antigen Receptor (TCR) Signaling Pathway",82,-0.560787242557001,-1.58608821561989,0.00770218228498074,0.0636867012817811,0.0480403199864471,3220,"tags=43%, list=26%, signal=32%","7189/3601/5601/5595/915/7040/3937/916/9051/7409/2185/8915/5970/920/10019/5170/4773/4792/7454/940/3702/4790/1432/9846/355/3662/3725/4772/2534/7431/1326/9020/2353/3708/3569" +"WP24","Peptide GPCRs",21,-0.72515909137611,-1.63351088861753,0.0078740157480315,0.0641500694766095,0.0483898491016796,1762,"tags=52%, list=14%, signal=45%","728/4886/7852/10396/3579/1909/623/6869/624/1910/185" +"WP4589","Major receptors targeted by epinephrine and norepinephrine",11,-0.832489389521898,-1.64426913769363,0.00826446280991736,0.0655698899278021,0.0494608517980951,1354,"tags=64%, list=11%, signal=57%","152/108/154/150/115/196883/111" +"WP474","Endochondral Ossification",54,-0.605621683222306,-1.60708674739698,0.00829875518672199,0.0655698899278021,0.0494608517980951,1766,"tags=41%, list=14%, signal=35%","55553/51719/657/5727/4921/2487/5167/9507/7078/6777/1028/9759/3479/7067/11096/2260/2690/4256/4208/2247/5745/9510" +"WP4352","Ciliary landscape",197,0.362614716331557,1.39055119188859,0.00840336134453781,0.0655698899278021,0.0494608517980951,2047,"tags=20%, list=17%, signal=17%","128239/4171/9343/55388/4173/4436/84515/25804/10238/3066/4176/79989/10051/4175/89891/4174/25904/54512/57560/150737/4172/116225/4704/7022/5714/100616408/284086/63929/7020/2717/57414/5718/54903/11018/90410/5706/6629/5704/100616387" +"WP2525","Trans-sulfuration and one carbon metabolism",28,0.618571121288761,1.68827533226606,0.00864553314121038,0.0665225744476465,0.0501794832903585,1790,"tags=46%, list=15%, signal=40%","6472/25902/1786/1789/7298/191/1788/5723/4522/29968/10797/2730/1719" +"WP3527","Preimplantation Embryo",31,-0.666639128694346,-1.62969196644526,0.00909090909090909,0.0678565179352581,0.0511857070497767,228,"tags=26%, list=2%, signal=25%","5087/83439/3662/9314/4306/1958/7538/2354" +"WP2406","Cardiac Progenitor Differentiation",30,-0.667798781954949,-1.62282412623367,0.00910470409711684,0.0678565179352581,0.0511857070497767,1210,"tags=53%, list=10%, signal=48%","652/3791/7852/1432/6910/22943/4920/5156/3815/7139/3479/70/4208/2247/4684/64321" +"WP1544","MicroRNAs in cardiomyocyte hypertrophy",76,-0.564283495089114,-1.57487604817129,0.00918635170603675,0.0678565179352581,0.0511857070497767,2402,"tags=46%, list=20%, signal=37%","6774/5293/5606/5595/8503/5330/805/7040/5530/387/9475/1489/6093/801/9734/5170/183/50804/4790/1432/3976/817/4776/9759/3479/5592/5532/9020/5320/3572/1827/10014/2247/4638/5579" +"WP167","Eicosanoid Synthesis",18,-0.747061129454138,-1.62175320009889,0.0096,0.0698524776194679,0.0526913046075029,458,"tags=33%, list=4%, signal=32%","5743/5740/5320/5730/4056/5742" +"WP4304","Oligodendrocyte Specification and differentiation(including remyelination), leading to Myelin Components for CNS",16,-0.762435441713953,-1.61661376948339,0.00970873786407767,0.0698524776194679,0.0526913046075029,658,"tags=69%, list=5%, signal=65%","4155/650/2736/652/55553/3976/3479/2920/2247/6663/5354" +"WP428","Wnt Signaling",93,-0.516013726346037,-1.47939174505811,0.0099626400996264,0.0707602899383721,0.0533760879831536,1778,"tags=28%, list=14%, signal=24%","83439/81029/6423/23236/3725/85407/817/5176/4772/8061/22943/23500/4609/4920/4776/5332/5532/4919/7482/8324/894/5533/6422/166336/5579/64321" +"WP465","Tryptophan metabolism",27,-0.673088908977646,-1.6060772897894,0.0107197549770291,0.0744766660265028,0.0561794345668281,796,"tags=37%, list=6%, signal=35%","223/4967/8854/216/38/4129/11185/217/316/23498" +"WP334","GPCRs, Class B Secretin-like",4,-0.926494114951996,-1.50086921601437,0.0109689213893967,0.0744766660265028,0.0561794345668281,135,"tags=75%, list=1%, signal=74%","10203/5745/7434" +"WP2858","Ectoderm Differentiation",112,-0.512859193219582,-1.49738516820973,0.0109756097560976,0.0744766660265028,0.0561794345668281,2546,"tags=39%, list=21%, signal=31%","5236/1004/4926/51762/79776/54521/5292/10257/5362/652/51222/83439/657/345557/50937/1896/5452/6907/23229/6622/56963/4204/6781/6386/4772/4609/4920/2534/8835/10253/8322/5010/91653/51422/79658/10486/55843/6347/1756/8848/2627/9079/7704/114815" +"WP4482","Vitamin D in inflammatory diseases",21,-0.697303771819546,-1.57076332281756,0.0110236220472441,0.0744766660265028,0.0561794345668281,1891,"tags=48%, list=15%, signal=40%","5530/4089/5970/4792/4790/1432/4772/2908/3569/1843" +"WP4320","The effect of progerin on the involved genes in Hutchinson-Gilford Progeria Syndrome",22,0.683736816044692,1.75370963384132,0.0112044817927171,0.0747865411224731,0.0564131803640924,2889,"tags=55%, list=24%, signal=42%","11335/23028/1869/3066/5928/6839/6720/9219/57504/10951/9112/51176" +"WP247","Small Ligand GPCRs",10,-0.821064222173243,-1.58944551939811,0.0118043844856661,0.0778527262507026,0.0587260731931008,1626,"tags=90%, list=13%, signal=78%","8698/1903/6915/9294/5734/5733/1902/1901/5737" +"WP2795","Cardiac Hypertrophic Response",51,-0.582834347182136,-1.53056492528391,0.0125523012552301,0.0818114693576175,0.061712242703732,2310,"tags=33%, list=19%, signal=27%","801/9734/5170/5578/4773/4790/1432/5587/4205/817/9759/3479/5592/9020/5320/10014/2247" +"WP2895","Differentiation of white and brown adipocyte ",18,-0.723465431235367,-1.57053061926027,0.0128,0.0824558139534884,0.0621982864137087,1182,"tags=56%, list=10%, signal=50%","655/650/652/23090/63976/133522/253738/4093/10891/27129" +"WP1991","SRF and miRs in Smooth Muscle Differentiation and Proliferation",9,-0.852789090889178,-1.62482138493552,0.0134453781512605,0.0854001096190737,0.0644192352627252,1322,"tags=89%, list=11%, signal=79%","4205/817/894/6722/9314/4208/4209/93649" +"WP3878","ATM Signaling Network in Development and Disease ",41,0.549013693025727,1.61809919652966,0.0136518771331058,0.0854001096190737,0.0644192352627252,779,"tags=20%, list=6%, signal=18%","1020/699/983/9212/1111/3150/11200/5591" +"WP2197","Endothelin Pathways",23,-0.671337050093026,-1.55875910667561,0.013719512195122,0.0854001096190737,0.0644192352627252,2310,"tags=52%, list=19%, signal=42%","801/4886/5578/23236/10681/2770/4846/1909/10267/4638/1910/1264" +"WP49","IL-2 Signaling Pathway",41,-0.603580080557865,-1.55468156464178,0.0141043723554302,0.0868202476100925,0.0654904774866173,1825,"tags=29%, list=15%, signal=25%","3716/6776/9846/4137/3725/4609/2534/6777/596/9021/894/2353" +"WP3668","Hypothesized Pathways in Pathogenesis of Cardiovascular Disease",23,-0.668402451934719,-1.55194534359928,0.0152439024390244,0.0928035379254891,0.0700038087714596,395,"tags=35%, list=3%, signal=34%","2200/4052/2022/1432/2316/7049/7048/185" +"WP185","Integrin-mediated Cell Adhesion",87,-0.520619938572016,-1.48375056211518,0.0163316582914573,0.098344985798558,0.0741838483033014,2709,"tags=33%, list=22%, signal=26%","3684/858/2889/3683/9475/7408/825/6093/3688/1793/5170/3672/5908/5602/7414/5906/7791/7094/2534/3611/10000/3690/3678/3680/3679/7145/857/10580/8516" +"WP4481","Resistin as a regulator of inflammation",28,-0.655231246365445,-1.57139210846378,0.016793893129771,0.10004104079455,0.0754632209679579,1891,"tags=39%, list=15%, signal=33%","4792/23236/113026/4790/1432/5336/10000/5332/84812/3708/3569" +"WP3876","BMP2-WNT4-FOXO1 Pathway in Human Primary Endometrial Stromal Cell Differentiation",11,-0.794035539572439,-1.56831804511128,0.0181818181818182,0.10715667311412,0.0808307034510842,1121,"tags=45%, list=9%, signal=41%","22943/2308/4093/1634/6422" +"WP3599","Transcription factor regulation in adipogenesis",19,-0.689736241592773,-1.52221495678199,0.0188679245283019,0.10743374272786,0.081039703330725,1104,"tags=42%, list=9%, signal=38%","23175/8660/2308/2908/1052/10891/6517/3569" +"WP4249","Hedgehog Signaling Pathway",34,-0.613979531009327,-1.52772199875654,0.0194319880418535,0.10743374272786,0.081039703330725,1663,"tags=59%, list=14%, signal=51%","1453/5567/51684/1452/2619/2736/374654/5727/50937/2121/2735/64839/132884/8643/8405/8452/408/91653/596/894" +"WP516","Hypertrophy Model",15,-0.733841554420393,-1.53376433075407,0.0197044334975369,0.10743374272786,0.081039703330725,1051,"tags=40%, list=9%, signal=37%","9948/1839/6935/467/3727/8013" +"WP3624","Lung fibrosis",42,-0.595090254201187,-1.53268360107275,0.0197183098591549,0.10743374272786,0.081039703330725,1198,"tags=33%, list=10%, signal=30%","4502/4780/4204/4092/2006/3082/3479/2920/6347/5806/1440/2252/2247/3569" +"WP4204","Tumor suppressor activity of SMARCB1",26,0.611731763503002,1.63934021100858,0.0198863636363636,0.10743374272786,0.081039703330725,1153,"tags=35%, list=9%, signal=31%","86/2146/1019/6597/6598/5928/6602/6603/23512" +"WP2814","Mammary gland development pathway - Puberty (Stage 2 of 4)",12,-0.780021355445463,-1.56202213498319,0.0199004975124378,0.10743374272786,0.081039703330725,1825,"tags=58%, list=15%, signal=50%","6776/374/8061/4609/2099/7431/5241" +"WP2029","Cell Differentiation - Index",6,-0.881008856885747,-1.52128807927282,0.02,0.10743374272786,0.081039703330725,366,"tags=83%, list=3%, signal=81%","4205/10014/6722/4208/4209" +"WP4284","Ultraconserved region 339 modulation of tumor suppressor microRNAs in cancer",2,0.969356206570633,1.39380440117446,0.0200400801603206,0.10743374272786,0.081039703330725,117,"tags=50%, list=1%, signal=50%","9134" +"WP2911","miRNA targets in ECM and membrane receptors",22,-0.670621722009888,-1.53460715356793,0.0201550387596899,0.10743374272786,0.081039703330725,2366,"tags=41%, list=19%, signal=33%","3915/3672/7057/3910/1291/3913/1292/6383/7148" +"WP3679","Cell-type Dependent Selectivity of CCK2R Signaling",9,-0.821314343290443,-1.56485246233761,0.0201680672268908,0.10743374272786,0.081039703330725,1720,"tags=67%, list=14%, signal=57%","23236/2770/6262/7220/6263/3708" +"WP4521","Glycosylation and related congenital defects",25,0.625791964921431,1.6442405464169,0.0205882352941176,0.107777907474417,0.0812993145873906,3238,"tags=56%, list=26%, signal=41%","7841/10195/79053/8818/29929/79644/8813/5373/1798/9526/4247/22845/54344/79087" +"WP4540","Pathways Regulating Hippo Signaling",80,-0.514765914067745,-1.45131657449357,0.02088772845953,0.107777907474417,0.0812993145873906,2054,"tags=36%, list=17%, signal=30%","5159/387/2771/1004/2324/5573/3791/5578/83439/1436/23236/2767/7005/1012/5563/7003/7010/5156/4915/3815/51422/2260/26524/5332/1003/5577/4804/2774/5579" +"WP404","Nucleotide Metabolism",18,0.676170913550093,1.62381396176178,0.0212201591511936,0.107777907474417,0.0812993145873906,3354,"tags=61%, list=27%, signal=44%","5424/6241/3251/10797/1719/5422/6723/4831/5423/3614/6240" +"WP3591","Sleep regulation",13,-0.762190632381489,-1.54820277261946,0.021630615640599,0.107777907474417,0.0812993145873906,1424,"tags=46%, list=12%, signal=41%","114781/1471/8863/5730/2353/3569" +"WP4493","Cells and Molecules involved in local acute inflammatory response ",13,-0.763202044338344,-1.5502572072049,0.021630615640599,0.107777907474417,0.0812993145873906,531,"tags=69%, list=4%, signal=66%","3683/3688/6404/727/7412/718/6403/730/3569" +"WP3931","ESC Pluripotency Pathways",83,-0.513192199879881,-1.45271763765166,0.021656050955414,0.107777907474417,0.0812993145873906,1374,"tags=23%, list=11%, signal=20%","81029/657/3725/2549/3976/4092/5156/10000/8322/4093/2260/3977/7482/8324/3572/2258/2252/2247/2353" +"WP366","TGF-beta Signaling Pathway",128,-0.468666885625339,-1.39109929248597,0.0216867469879518,0.107777907474417,0.0812993145873906,1465,"tags=17%, list=12%, signal=15%","1026/6500/3725/4205/7071/4092/4609/3690/3726/10413/7041/6935/1316/467/9839/857/4208/7049/2353/7048/3727/2354" +"WP4659","Gastrin Signaling Pathway",105,-0.485368268009291,-1.40931408025564,0.02203182374541,0.107777907474417,0.0812993145873906,2080,"tags=27%, list=17%, signal=22%","5970/6093/3688/960/5578/4792/10524/8649/4790/1432/5587/1026/5743/3725/3717/2308/4609/2534/6925/408/3815/330/388/9314/4208/1958/2353/4209" +"WP2840","Hair Follicle Development: Cytodifferentiation (Part 3 of 3)",56,-0.552922911614378,-1.47344151807024,0.0220385674931129,0.107777907474417,0.0812993145873906,1683,"tags=50%, list=14%, signal=43%","55806/4089/2619/10468/2736/864/26018/1523/652/4254/4790/27122/657/3516/3725/3488/4772/22943/6925/2908/1959/4345/3479/4487/2353/947/6422/2354" +"WP2884","NRF2 pathway",96,-0.50229588517062,-1.43999197856862,0.0225,0.107777907474417,0.0812993145873906,787,"tags=14%, list=6%, signal=13%","6515/1066/1839/3082/23764/2258/2042/2949/1958/6649/7048/6517/2878" +"WP186","Homologous recombination",12,0.753764556637835,1.65493057410169,0.0225563909774436,0.107777907474417,0.0812993145873906,522,"tags=33%, list=4%, signal=32%","5424/5888/675/25788" +"WP3413","NOTCH1 regulation of human endothelial cell calcification",16,-0.719108393262633,-1.52474618399967,0.0226537216828479,0.107777907474417,0.0812993145873906,2245,"tags=38%, list=18%, signal=31%","28514/2702/3672/55553/1902/4256" +"WP1533","Vitamin B12 Metabolism",30,-0.628971424933689,-1.52846939927905,0.0227617602427921,0.107777907474417,0.0812993145873906,1854,"tags=37%, list=15%, signal=31%","3043/6648/4790/3039/3949/6948/4524/6347/12/6649/3569" +"WP241","One Carbon Metabolism",25,0.608137785972,1.59785497665971,0.0235294117647059,0.110468594217348,0.0833289604869602,961,"tags=36%, list=8%, signal=33%","6472/25902/1786/1789/7298/2618/191/1788/4522" +"WP4756","Renin Angiotensin Aldosterone System (RAAS)",28,-0.642313201374039,-1.54041172700475,0.0244274809160305,0.113215258855586,0.0854008317797218,2977,"tags=57%, list=24%, signal=43%","5330/805/10488/1636/91860/468/808/801/183/8536/817/90993/9586/3708/185/1511" +"WP304","Kit receptor signaling pathway",59,-0.547763539132581,-1.46610882741393,0.0245231607629428,0.113215258855586,0.0854008317797218,2042,"tags=42%, list=17%, signal=35%","6774/2309/5595/6194/7006/3635/7409/6615/2887/5578/4254/6776/1432/9846/4137/3717/695/2534/6777/3726/4286/3815/596/2353/5579" +"WP4496","Signal transduction through IL1R",30,-0.61959163714888,-1.5056754884073,0.0257966616084977,0.118110334967833,0.0890932984651901,2594,"tags=47%, list=21%, signal=37%","7189/5606/7040/7042/5970/54472/4792/4790/1432/3725/7043/11213/9020/3569" +"WP2023","Cell Differentiation - Index expanded",11,-0.778736061181117,-1.53809968982857,0.0264462809917355,0.120092128437881,0.0905882101269975,688,"tags=64%, list=6%, signal=60%","4205/3398/10014/6722/9314/4208/4209" +"WP4191","Caloric restriction and aging",8,-0.836380477237547,-1.55342529938321,0.0271186440677966,0.122144136695604,0.0921360863920861,658,"tags=38%, list=5%, signal=36%","3479/23411/10891" +"WP2848","Differentiation Pathway",26,-0.627651287352175,-1.48278998543939,0.0276923076923077,0.123722084367246,0.0933263680292543,2090,"tags=58%, list=17%, signal=48%","652/4254/1436/1435/2323/22943/7043/4907/3570/3815/3082/3479/7482/2247/3569" +"WP1539","Angiogenesis",24,-0.646934398249501,-1.51926750798385,0.0286144578313253,0.124077782462057,0.0935946791515044,2054,"tags=38%, list=17%, signal=31%","3791/1432/7077/4846/284/7010/7078/5156/2247" +"WP1992","Genes targeted by miRNAs in adipocytes",10,-0.782703487687222,-1.51518543607815,0.0286677908937605,0.124077782462057,0.0935946791515044,1235,"tags=70%, list=10%, signal=63%","3784/58155/2078/9759/3479/9464/6722" +"WP2855","Dopaminergic Neurogenesis",10,-0.782640519459834,-1.515063539929,0.0286677908937605,0.124077782462057,0.0935946791515044,1529,"tags=60%, list=12%, signal=53%","216/2735/6571/1028/4487/4929" +"WP3892","Development of pulmonary dendritic cells and macrophage subsets",10,-0.78684563200572,-1.52320394735892,0.0286677908937605,0.124077782462057,0.0935946791515044,1654,"tags=70%, list=13%, signal=61%","1435/10320/2323/3662/3394/6925/3398" +"WP3299","let-7 inhibition of ES cell reprogramming",5,-0.870618600337099,-1.46924671822705,0.0291970802919708,0.125389011486448,0.0945837688772942,1060,"tags=60%, list=9%, signal=55%","4609/9314/1958" +"WP3287","Overview of nanoparticle effects",15,-0.713421200746702,-1.49108480423036,0.0295566502463054,0.125907407654978,0.094974806838355,1407,"tags=33%, list=11%, signal=30%","5743/10000/596/5742/3569" +"WP3947","Serotonin and anxiety",7,-0.851912216031474,-1.51661298422642,0.0297723292469352,0.125907407654978,0.094974806838355,435,"tags=57%, list=4%, signal=55%","5341/84812/2353/5579" +"WP2881","Estrogen Receptor Pathway",10,-0.781205151773883,-1.51228490376935,0.03035413153457,0.127395370228423,0.0960972106796195,1374,"tags=40%, list=11%, signal=36%","3725/5465/2099/5166" +"WP2813","Mammary gland development pathway - Embryonic development (Stage 1 of 4)",11,-0.764891615812808,-1.51075520408002,0.031404958677686,0.129485796476088,0.0976740665039081,1060,"tags=45%, list=9%, signal=42%","7040/3688/4609/9839/6422" +"WP477","Cytoplasmic Ribosomal Proteins",85,-0.501189342497575,-1.42462469075787,0.0314465408805031,0.129485796476088,0.0976740665039081,3956,"tags=54%, list=32%, signal=37%","6135/9349/6235/6205/6152/7311/6233/6217/6202/6157/9045/6130/6137/6176/6194/6181/23521/6229/6192/2197/6124/6160/6210/6154/6129/6224/6230/6191/6136/6206/6208/6168/6232/6134/6146/4736/6189/6125/6164/6228/6133/6122/6138/6207/6203/6196" +"WP3875","ATR Signaling",8,0.781003687085597,1.5506309557775,0.0315533980582524,0.129485796476088,0.0976740665039081,2500,"tags=75%, list=20%, signal=60%","1111/11073/5883/3364/545/5810" +"WP15","Selenium Micronutrient Network",50,-0.555900230371387,-1.45738739720432,0.0321678321678322,0.131036610448375,0.0988438805776267,1854,"tags=26%, list=15%, signal=22%","3043/6648/4790/3039/3949/5743/4524/6347/12/6649/5742/2878/3569" +"WP2374","Oncostatin M Signaling Pathway",64,-0.52821348511576,-1.43895010938035,0.0345285524568393,0.139626409205029,0.105323360164158,2153,"tags=30%, list=18%, signal=25%","9180/3716/5578/4792/4790/1432/3949/3717/7078/6777/3726/3977/6347/9021/3572/1958/2353/3727/5579" +"WP23","B Cell Receptor Signaling Pathway",92,-0.492094428626572,-1.41127496856742,0.0347826086956522,0.139634530560807,0.105329486286605,2628,"tags=32%, list=21%, signal=25%","2889/7409/8915/5970/7462/5788/5170/4773/4792/8462/4790/1432/9846/23396/3662/3725/2549/2308/695/5336/4609/2534/974/975/8395/933/4208/4209/5579" +"WP2203","Thymic Stromal LymphoPoietin (TSLP) Signaling Pathway",45,-0.551646144759052,-1.43634135631229,0.0361613351877608,0.144125033769924,0.108716774475888,3262,"tags=51%, list=27%, signal=38%","6774/3055/5601/5595/6194/7006/4791/5970/6778/3716/4792/6776/4790/1432/9846/2242/3717/695/4609/2534/6777/85480/3569" +"WP206","Fatty Acid Omega Oxidation",5,-0.866595883894327,-1.46245802461355,0.0364963503649635,0.144421272158498,0.108940233796169,1529,"tags=80%, list=12%, signal=70%","216/126/217/125" +"WP2636","Common Pathways Underlying Drug Addiction",24,-0.629302655429802,-1.47786093871257,0.0376506024096386,0.147932154148509,0.111588571531366,2310,"tags=38%, list=19%, signal=30%","801/5578/5500/60/2770/5908/5906/5579/72" +"WP4211","Transcriptional cascade regulating adipogenesis",13,-0.731843560040142,-1.48656016046487,0.0382695507487521,0.149305148695836,0.11262425238884,1050,"tags=31%, list=9%, signal=28%","28999/1052/1959/10365" +"WP286","IL-3 Signaling Pathway",44,-0.554662346420084,-1.44260253570813,0.0390516039051604,0.151290829115097,0.1141220960644,3262,"tags=45%, list=27%, signal=33%","6774/3055/5293/5595/1439/7040/3635/2889/7409/3716/6776/9846/3725/3717/969/2534/6777/3563/596/2353" +"WP4541","Hippo-Merlin Signaling Dysregulation",95,-0.481263972980716,-1.37790961849811,0.0401002506265664,0.154274575327207,0.116372803353413,2080,"tags=36%, list=17%, signal=30%","3684/5159/3683/1004/2324/5573/3688/960/3791/5500/3672/154796/1436/4659/7005/1012/7003/7010/4609/5156/3690/4915/3678/3680/3815/2260/26524/5332/1003/3679/5577/94274/4804/8516" +"WP34","Ovarian Infertility Genes",17,-0.674814596859437,-1.44659434192003,0.0418679549114332,0.159964462213338,0.120664813791934,834,"tags=29%, list=7%, signal=27%","2701/6609/894/1958/5241" +"WP4217","Ebola Virus Pathway on Host",118,-0.458831175424282,-1.34852633592062,0.0428921568627451,0.162755170561375,0.122769908251693,2744,"tags=28%, list=22%, signal=22%","3123/3127/3113/858/387/4791/1212/3115/3111/55823/5970/3108/3688/3672/60/153090/4790/4240/3384/7099/87/30835/3690/3678/558/9021/2316/388/857/2621/10462/2934/2318" +"WP1601","Fluoropyrimidine Activity",28,0.540549228053908,1.47532902230794,0.0432276657060519,0.162912427218726,0.122888530507,1259,"tags=36%, list=10%, signal=32%","23583/7083/7517/6241/8836/7298/5471/7371/6996/1890" +"WP4030","SCFA and skeletal muscle substrate metabolism",2,-0.954183281997241,-1.37242059985368,0.0437375745526839,0.163690853066565,0.123475714739552,115,"tags=100%, list=1%, signal=99%","6517" +"WP1424","Globo Sphingolipid Metabolism",20,-0.635512972937628,-1.41849909401341,0.0440251572327044,0.163690853066565,0.123475714739552,2880,"tags=45%, list=23%, signal=34%","6483/81849/26301/6482/53947/27090/256435/6489/30815" +"WP4396","Nonalcoholic fatty liver disease",135,-0.448303650812215,-1.33218564897561,0.0445783132530121,0.163734880411581,0.123508925562223,1894,"tags=19%, list=15%, signal=16%","7386/4714/8660/4790/6392/7412/355/7385/22877/1350/4724/3725/5465/5563/4092/10000/3570/7381/51422/3953/6347/9021/84701/1346/3569" +"WP4210","Tryptophan catabolism leading to NAD+ production",11,-0.746472837499919,-1.47437584703945,0.0446280991735537,0.163734880411581,0.123508925562223,17,"tags=18%, list=0%, signal=18%","349565/23498" +"WP530","Cytokines and Inflammatory Response",14,-0.714034062158728,-1.4716310345101,0.0458265139116203,0.167025583598932,0.125991177443998,2929,"tags=64%, list=24%, signal=49%","7040/3123/920/3600/1435/3574/2920/1440/3569" +"WP716","Vitamin A and Carotenoid Metabolism",22,-0.629472273219803,-1.44044342995728,0.048062015503876,0.173368799874824,0.130776009025851,1885,"tags=45%, list=15%, signal=39%","5915/4023/6257/948/8854/216/116362/5947/5914/83875" +"WP4239","Epithelial to mesenchymal transition in colorectal cancer",128,-0.447616590432949,-1.32861770557018,0.0481927710843374,0.173368799874824,0.130776009025851,1093,"tags=15%, list=9%, signal=14%","7043/1288/10000/5310/7483/8322/3678/5010/3398/26524/6935/1286/7482/8324/9839/117581/4209/7048/7122" +"WP2064","Neural Crest Differentiation",64,-0.507296714214776,-1.38196900112776,0.049136786188579,0.175624384183695,0.132477447313181,2616,"tags=41%, list=21%, signal=32%","1488/4791/6615/1004/8313/3688/28514/9734/4855/652/83439/23493/4790/3516/4609/6925/4286/9759/2260/4487/4359/10014/388/5376/2247/6663" +"WP4595","Urea cycle and associated pathways",16,0.640253061310679,1.49763620923435,0.0494791666666667,0.175714476495726,0.132545405982906,864,"tags=25%, list=7%, signal=23%","5831/10165/162417/10166" +"WP4008","NO/cGMP/PKG mediated Neuroprotection",25,-0.609319937888644,-1.43717569726893,0.0498489425981873,0.175900090442011,0.132685418782973,2621,"tags=48%, list=21%, signal=38%","1742/5970/801/842/4792/4790/5139/4846/817/596/4881/5138" +"WP4585","Cancer immunotherapy by PD-1 blockade",21,-0.620866606987424,-1.3985791186433,0.0519685039370079,0.182218678361407,0.137451672638189,4417,"tags=81%, list=36%, signal=52%","5781/80380/925/10725/3932/926/7535/5133/6774/915/3123/916/4773/4790/3725/4772/4776" +"WP3414","Initiation of transcription and translation elongation at the HIV-1 LTR",27,-0.602719596112229,-1.43816699772577,0.0551301684532925,0.190946691176471,0.144035410216718,2399,"tags=41%, list=20%, signal=33%","5970/9734/4773/4792/4790/4772/4776/9759/5532/10014/5533" +"WP2877","Vitamin D Receptor Pathway",118,-0.451549634647416,-1.32712554619747,0.0551470588235294,0.190946691176471,0.144035410216718,1468,"tags=23%, list=12%, signal=20%","7077/3662/1026/3394/3488/50486/2308/4609/5734/7078/6546/78989/6304/9365/154/3726/4345/5243/3400/11096/7168/7869/79689/623/9314/6422/6517" +"WP3995","Prion disease pathway",31,-0.584578945178294,-1.42908444719709,0.0575757575757576,0.197162702795572,0.148724288447354,1683,"tags=32%, list=14%, signal=28%","4790/5452/3662/5621/2534/2260/596/4208/1879/4684" +"WP2943","Hypoxia-mediated EMT and Stemness",2,-0.941315874717716,-1.35391315463816,0.0576540755467197,0.197162702795572,0.148724288447354,539,"tags=100%, list=4%, signal=96%","6935" +"WP2485","NAD Biosynthesis II (from tryptophan)",6,-0.837613690804246,-1.44635517894852,0.0581818181818182,0.197746793084216,0.149164880969854,17,"tags=33%, list=0%, signal=33%","64802/23498" +"WP4462","Platelet-mediated interactions with vascular and circulating cells",15,-0.686870057317304,-1.43559163068704,0.0607553366174056,0.205234490768553,0.154813020777343,2929,"tags=60%, list=24%, signal=46%","7040/7042/6404/7412/7099/7043/6401/6347/6403" +"WP4747","Netrin-UNC5B signaling Pathway",44,-0.539244900584092,-1.40250382231845,0.0627615062761506,0.210726511981742,0.158955776661128,2884,"tags=39%, list=24%, signal=30%","3635/23365/387/2185/3791/5578/1432/7412/3725/56963/54538/2534/9423/10413/6401/1003/6347" +"WP3297","EV release from cardiac cells and their functional effects",4,-0.862950715278098,-1.39793242352714,0.0639853747714808,0.213541551948195,0.161079225011274,265,"tags=50%, list=2%, signal=49%","6387/10365" +"WP4538","Regulatory circuits of the STAT3 signaling pathway",67,-0.493240817393167,-1.35894337979665,0.064388961892247,0.213601705917993,0.161124600511958,2221,"tags=31%, list=18%, signal=26%","5788/9180/3716/57521/1432/3587/1844/5602/3717/5156/3570/5789/3563/3590/80854/3977/9021/2690/3572/5579/185" +"WP2572","Primary Focal Segmental Glomerulosclerosis FSGS",58,-0.513713748037688,-1.37854779911699,0.0652173913043478,0.215062111801242,0.162226217718209,1465,"tags=26%, list=12%, signal=23%","1026/7099/7402/7414/7094/22943/2534/3611/55742/3690/3913/1028/7431/1286/11346" +"WP734","Serotonin Receptor 4/6/7 and NR3C Signaling",16,-0.665216071927142,-1.41047674691195,0.0663430420711974,0.216841869827779,0.163568729472978,1244,"tags=31%, list=10%, signal=28%","5906/9252/2908/6722/1958" +"WP1438","Influenza A virus infection",1,-0.961591780151676,-1.28882821931731,0.0665399239543726,0.216841869827779,0.163568729472978,473,"tags=100%, list=4%, signal=96%","" +"WP2267","Synaptic Vesicle Pathway",31,-0.568798832477696,-1.39050776936521,0.0681818181818182,0.219993483484707,0.165946062974403,1703,"tags=29%, list=14%, signal=25%","2055/10497/6812/2054/6571/291/6844/6581/477" +"WP322","Osteoblast Signaling",7,-0.808850305525022,-1.43995220701171,0.0683012259194396,0.219993483484707,0.165946062974403,989,"tags=57%, list=8%, signal=53%","5159/5156/3690/5745" +"WP4336","ncRNAs involved in Wnt signaling in hepatocellular carcinoma",69,-0.48541180834441,-1.34220701754833,0.0700132100396301,0.224204152381243,0.169122265809146,1778,"tags=26%, list=14%, signal=22%","83439/81029/6423/3725/85407/5176/8061/22943/4609/4920/83595/4919/7482/8324/894/9314/6422/64321" +"WP2036","TNF related weak inducer of apoptosis (TWEAK) Signaling Pathway",40,-0.538270309433591,-1.37511668032948,0.0725462304409673,0.230980526806298,0.174233838385142,1891,"tags=35%, list=15%, signal=30%","4791/5970/7188/4792/8737/4790/1432/3725/7185/330/8742/6347/9020/3569" +"WP712","Estrogen signaling pathway",21,-0.61006551356368,-1.37424831464941,0.0740157480314961,0.234312710911136,0.176747380261678,1683,"tags=29%, list=14%, signal=25%","4790/1432/3725/2099/596/2353" +"WP3935","Leptin Insulin Overlap",14,-0.687575875133128,-1.41710045787903,0.0752864157119476,0.236981104002381,0.178760209555282,2110,"tags=64%, list=17%, signal=53%","3643/6774/8503/5170/8660/3717/8835/3953/9021" +"WP197","Cholesterol Biosynthesis Pathway",14,0.62819710570988,1.42438853835171,0.0767263427109974,0.2401491178638,0.181149914102087,1003,"tags=29%, list=8%, signal=26%","1717/4598/6713/2224" +"WP405","Eukaryotic Transcription Initiation",41,0.45874240039583,1.35204407271458,0.0784982935153584,0.244314913525329,0.184292268040197,2669,"tags=37%, list=22%, signal=29%","5437/5436/2960/84172/2968/25885/5439/2071/2967/6883/55703/6877/4331/51728/5438" +"WP2879","Farnesoid X Receptor Pathway",7,-0.789437096627051,-1.40539192706019,0.0805604203152364,0.249332250584586,0.188076958924721,1784,"tags=57%, list=15%, signal=49%","8660/5244/10891/2289" +"WP2637","Structural Pathway of Interleukin 1 (IL-1)",49,-0.509258373676372,-1.32314141379428,0.082036775106082,0.252490963382053,0.190459647468506,3254,"tags=43%, list=27%, signal=32%","1977/7189/5601/5606/5595/4155/23118/10010/5970/9261/54472/4792/4790/1432/5602/9252/4609/4215/1326/9020/2353" +"WP4792","Purine metabolism",11,0.672064316569719,1.4295743423481,0.0831234256926952,0.254421976982062,0.191916254725211,704,"tags=27%, list=6%, signal=26%","3704/1716/3251" +"WP4571","Urea cycle and related diseases",6,0.766274061423484,1.43392081300156,0.084070796460177,0.255907809005154,0.193037051444131,864,"tags=50%, list=7%, signal=47%","10165/162417/10166" +"WP2034","Leptin signaling pathway",75,-0.471684908853682,-1.313839222857,0.0868421052631579,0.261432861432861,0.197204723520513,2636,"tags=31%, list=21%, signal=24%","387/8648/9475/5970/6093/5728/3716/4790/1432/3717/4846/5563/2308/5336/2534/8835/5140/6777/2099/3953/9021/32/1073" +"WP2380","Brain-Derived Neurotrophic Factor (BDNF) signaling pathway",123,-0.431712318811825,-1.2774937379221,0.0872727272727273,0.261432861432861,0.197204723520513,1891,"tags=24%, list=15%, signal=21%","4792/1938/6776/8536/8660/23373/4790/1432/25759/4137/3725/5602/4205/3717/5906/9252/5563/2534/4915/6777/1808/4776/1959/627/32/4804/4208/1958/2353/4684" +"WP4746","Thyroid hormones production and their peripheral downstream signalling effects regarding congenital hypothyroidism",66,-0.481297078415223,-1.32003744064085,0.0873015873015873,0.261432861432861,0.197204723520513,1720,"tags=21%, list=14%, signal=18%","23236/1432/9658/2308/63976/10000/3690/9728/7067/2260/6567/10891/4881/11343" +"WP4534","Mechanoregulation and pathology of YAP/TAZ via Hippo and non-Hippo mechanisms",44,-0.518173230910201,-1.34769922939926,0.0878661087866109,0.261708732622486,0.197412819401723,1738,"tags=20%, list=14%, signal=18%","60/7005/5602/7003/3690/58/59/70/72" +"WP1995","Effects of Nitric Oxide",4,-0.848071387134949,-1.37382873500432,0.0895795246800731,0.264516669458871,0.199530909700117,1574,"tags=75%, list=13%, signal=65%","3039/4846/316" +"WP2865","IL1 and megakaryocytes in obesity",21,-0.604117202509258,-1.3608490054608,0.0897637795275591,0.264516669458871,0.199530909700117,1683,"tags=33%, list=14%, signal=29%","4790/7077/114548/1839/2205/6347/8991" +"WP3943","Robo4 and VEGF Signaling Pathways Crosstalk",6,-0.796916002083479,-1.37608016613682,0.0909090909090909,0.265071770334928,0.199949634852682,2054,"tags=50%, list=17%, signal=42%","3791/54538/9353" +"WP4666","Hepatitis B infection",130,-0.422343241745898,-1.25151206742508,0.0909090909090909,0.265071770334928,0.199949634852682,2231,"tags=25%, list=18%, signal=20%","842/3339/6778/3716/5578/4773/6776/4790/1432/7098/355/1654/1026/7099/3725/5602/3717/4772/7043/4609/10000/6777/4776/90993/1959/9586/596/2353/7048/5579/1960/3569" +"WP673","ErbB Signaling Pathway",81,-0.4605128471235,-1.29950270167019,0.0920881971465629,0.266130663430421,0.200748381877023,2110,"tags=25%, list=17%, signal=21%","5170/685/5578/6776/25759/1026/3725/5602/2549/374/817/2308/5336/4609/25/10000/6777/1839/5579/9542" +"WP299","Nuclear Receptors in Lipid Metabolism and Toxicity",16,-0.645040073787789,-1.36769699846292,0.0922330097087379,0.266130663430421,0.200748381877023,1267,"tags=44%, list=10%, signal=39%","19/10062/5915/5465/5244/5243/5914" +"WP704","Methylation Pathways",7,-0.776780569729948,-1.38286020059103,0.0928196147110333,0.266435577978821,0.200978385820999,1572,"tags=57%, list=13%, signal=50%","3176/4837/4144/11185" +"WP4331","Neovascularisation processes",37,-0.527009536551983,-1.34194147805312,0.0938833570412518,0.268099895880688,0.202233818477357,2594,"tags=49%, list=21%, signal=38%","5601/5595/7040/7042/4791/2324/5970/4855/3791/4254/7852/4790/284/7043/3815/4093/94/6387" +"WP3634","Insulin signalling in human adipocytes (normal condition)",8,-0.751366752993145,-1.39552769939113,0.0949152542372881,0.268280871670702,0.202370332611189,115,"tags=38%, list=1%, signal=37%","3643/6194/6517" +"WP3635","Insulin signalling in human adipocytes (diabetic condition)",8,-0.751366752993145,-1.39552769939113,0.0949152542372881,0.268280871670702,0.202370332611189,115,"tags=38%, list=1%, signal=37%","3643/6194/6517" +"WP357","Fatty Acid Biosynthesis",20,0.5581414734364,1.39298884114133,0.0956284153005464,0.268924579068542,0.202855895668271,281,"tags=15%, list=2%, signal=15%","47/2194/6319" +"WP4559","Interactions between immune cells and microRNAs in tumor microenvironment",24,-0.579912872491187,-1.36187345582706,0.0963855421686747,0.269684799805282,0.203429347373545,3325,"tags=54%, list=27%, signal=40%","5133/6774/7189/7040/7042/4791/6778/3566/4790/7099/7043/6347/7048" +"WP129","Matrix Metalloproteinases",22,0.535946775951655,1.3746444569853,0.0980392156862745,0.272093397745572,0.205246207305704,1504,"tags=32%, list=12%, signal=28%","4320/4322/4312/4321/6942/4318/4323" +"WP3967","miR-509-3p alteration of YAP1/ECM axis",17,-0.629257824320371,-1.34893467406777,0.0982286634460548,0.272093397745572,0.205246207305704,1577,"tags=35%, list=13%, signal=31%","7005/5090/10082/7003/10413/1909" +"WP272","Blood Clotting Cascade",12,-0.685631500825806,-1.37300289697842,0.0995024875621891,0.274250637360461,0.206873461964855,1548,"tags=33%, list=13%, signal=29%","2152/7450/2157/2159" +"WP4480","Role of Altered Glycolysation of MUC1 in Tumour Microenvironment",8,-0.747715740054682,-1.38874660391923,0.1,0.274257425742574,0.206878582595102,2399,"tags=50%, list=20%, signal=40%","5970/4792/4790/3569" +"WP2874","Liver X Receptor Pathway",5,0.781145675082165,1.38858579160511,0.10352422907489,0.281933842239186,0.212669077273336,1631,"tags=60%, list=13%, signal=52%","2194/6319/6720" +"WP28","Selenium Metabolism and Selenoproteins",28,-0.554760669368141,-1.33044103553782,0.10381679389313,0.281933842239186,0.212669077273336,1683,"tags=25%, list=14%, signal=22%","4790/4780/3725/8991/1390/2353/2878" +"WP313","Signaling of Hepatocyte Growth Factor Receptor",34,-0.523915545722487,-1.3036221311401,0.10762331838565,0.290845455539757,0.219391308852904,2628,"tags=35%, list=21%, signal=28%","2889/2185/3688/1793/5728/3672/3725/5908/2549/5906/3082/2353" +"WP3972","PDGFR-beta pathway",29,-0.545184974055366,-1.31332318559275,0.108728943338438,0.292250143871091,0.220450897048876,2137,"tags=34%, list=17%, signal=29%","6778/3716/5578/6776/3725/3717/6777/6722/2353/5579" +"WP3940","One carbon metabolism and related pathways",39,-0.512257616041992,-1.30816227173947,0.109530583214794,0.292250143871091,0.220450897048876,760,"tags=13%, list=6%, signal=12%","4524/1036/6649/2878/23743" +"WP53","ID signaling pathway",13,0.611338225699918,1.37488358594489,0.109725685785536,0.292250143871091,0.220450897048876,1631,"tags=38%, list=13%, signal=33%","898/5933/1017/2002/6720" +"WP51","Regulation of Actin Cytoskeleton",117,-0.422153446476017,-1.23738330690987,0.110565110565111,0.293076895947709,0.221074534849403,3203,"tags=39%, list=26%, signal=29%","5293/9564/5595/8503/50649/324/22800/6655/5286/8826/23533/5159/4478/387/7409/9475/10152/6093/1793/22808/1131/3672/2909/7454/10163/60/4659/23396/87/55970/7414/26999/5305/5156/9459/6237/2260/8395/1073/2258/623/2252/624/2934/2247/4638" +"WP4721","Eicosanoid metabolism via Lipo Oxygenases (LOX)",20,-0.59950695514597,-1.33813172813509,0.111635220125786,0.293148667924355,0.221128674075563,1433,"tags=25%, list=12%, signal=22%","8989/3248/5465/4056/8309" +"WP3927","BMP Signaling Pathway in Eyelid Development",16,-0.6306524227717,-1.33719044870069,0.111650485436893,0.293148667924355,0.221128674075563,3193,"tags=50%, list=26%, signal=37%","5601/5595/4089/652/3725/5308/3625/6422" +"WP3933","Kennedy pathway from Sphingolipids",12,0.626064103213399,1.37455736891755,0.115288220551378,0.299956542492181,0.22626400792209,2533,"tags=50%, list=21%, signal=40%","9791/5833/10400/8879/10390/55500" +"WP4136","Fibrin Complement Receptor 3 Signaling Pathway",30,-0.535809368717357,-1.30207540671318,0.115326251896813,0.299956542492181,0.22626400792209,3977,"tags=57%, list=32%, signal=38%","5327/7305/868/114609/3551/929/7189/148022/83593/3684/387/23643/4790/7098/7099/6347/3569" +"WP3672","LncRNA-mediated mechanisms of therapeutic resistance",7,-0.75770569431584,-1.34890223733949,0.117338003502627,0.303762868880632,0.229135206052843,1465,"tags=43%, list=12%, signal=38%","1026/5243/55384" +"WP3879","4-hydroxytamoxifen, Dexamethasone, and Retinoic Acids Regulation of p27 Expression",18,0.556284465267421,1.33590851559974,0.119363395225464,0.307568934673987,0.232006207610817,2083,"tags=22%, list=17%, signal=18%","55872/1978/5604/2475" +"WP2333","Trans-sulfuration pathway",10,0.647308682006739,1.35533459222229,0.122249388753056,0.313302917058334,0.236331480281509,1670,"tags=30%, list=14%, signal=26%","1786/191/2730" +"WP3849","MAPK and NFkB Signalling Pathways Inhibited by Yersinia YopJ",12,-0.666981491805223,-1.33565555167254,0.122719734660033,0.313302917058334,0.236331480281509,1891,"tags=50%, list=15%, signal=42%","3551/7189/4792/4790/6237/9020" +"WP4321","Thermogenesis",90,-0.437856245934515,-1.24858410410469,0.124685138539043,0.313370031593615,0.236382106294253,1846,"tags=22%, list=15%, signal=19%","2182/6604/60/1432/9658/108/5563/63976/90993/9586/51422/5592/2260/115/6196/196883/10891/4881/111/11343" +"WP3981","miRNA regulation of prostate cancer signaling pathways",32,-0.523354952521039,-1.28583941456712,0.125188536953243,0.313370031593615,0.236382106294253,2338,"tags=34%, list=19%, signal=28%","5159/23228/842/367/4792/4790/1026/2308/10000/90993/596" +"WP4400","FABP4 in ovarian cancer",1,-0.928565603848977,-1.24456300316878,0.125475285171103,0.313370031593615,0.236382106294253,878,"tags=100%, list=7%, signal=93%","" +"WP4535","Envelope proteins and their potential roles in EDMD physiopathology",41,-0.498323455240057,-1.28356503808783,0.125528913963329,0.313370031593615,0.236382106294253,1723,"tags=22%, list=14%, signal=19%","2010/3799/108/7043/115/196883/23345/6722/111" +"WP2870","Extracellular vesicle-mediated signaling in recipient cells",27,-0.547646696992832,-1.30675592947198,0.125574272588055,0.313370031593615,0.236382106294253,3164,"tags=41%, list=26%, signal=30%","7103/324/7040/23533/4089/7042/4240/7043/3082/7049/7048" +"WP4155","Endometrial cancer",59,-0.474433113541208,-1.269837304034,0.129427792915531,0.321538104373114,0.242543468432693,2414,"tags=37%, list=20%, signal=30%","5293/2309/5595/8503/324/6655/8313/842/5728/5170/1647/51426/83439/10912/1026/4609/3611/10000/4616/2260/2247/2353" +"WP4545","Oxysterols derived from cholesterol",10,-0.689027938108387,-1.33384495316058,0.133220910623946,0.329221999878722,0.248339604696661,903,"tags=80%, list=7%, signal=74%","53342/9420/7376/1593/2099/9023/2053/1880" +"WP195","IL-1 signaling pathway",55,-0.47719026359511,-1.2699676196789,0.133977900552486,0.329221999878722,0.248339604696661,2399,"tags=24%, list=20%, signal=19%","5970/9261/54472/4792/4790/1432/3725/4215/57161/11213/6347/9020/3316" +"WP2436","Dopamine metabolism",9,-0.702346905291786,-1.33818347766561,0.136134453781513,0.329221999878722,0.248339604696661,726,"tags=67%, list=6%, signal=63%","4128/5566/5515/5567/5516/4129" +"WP117","GPCRs, Other",22,-0.573012284766239,-1.31124406267236,0.136434108527132,0.329221999878722,0.248339604696661,2136,"tags=41%, list=17%, signal=34%","1131/27239/3579/59352/154/1909/1880/1901/5737" +"WP4718","Cholesterol metabolism (includes both Bloch and Kandutsch-Russell pathways)",41,0.436915078207973,1.28771275831709,0.136518771331058,0.329221999878722,0.248339604696661,2459,"tags=37%, list=20%, signal=29%","2194/6319/1717/10682/4598/6713/1718/2224/3992/6720/51478/7108/6646/4597/9415" +"WP4507","Molybdenum cofactor (Moco) biosynthesis",7,-0.746174812851297,-1.32837443621208,0.136602451838879,0.329221999878722,0.248339604696661,62,"tags=43%, list=1%, signal=43%","54996/4338/316" +"WP560","TGF-beta Receptor Signaling",46,-0.485805165126977,-1.26333149329637,0.136680613668061,0.329221999878722,0.248339604696661,2795,"tags=48%, list=23%, signal=37%","4091/25805/4089/7030/10468/864/4052/2022/3716/652/6497/7057/4790/3725/3976/23090/4092/4093/9839/7049/2353/7048" +"WP500","Glycogen Synthesis and Degradation",36,-0.500746250862426,-1.26823953268594,0.137733142037303,0.330321041942276,0.249168636996169,2727,"tags=42%, list=22%, signal=32%","805/3098/5236/5527/808/801/2632/7360/5834/5257/2992/5521/5516/5525/5837" +"WP4329","miRNAs involvement in the immune response in sepsis",32,-0.515204687738098,-1.2658148945992,0.14027149321267,0.333291843000581,0.251409579462722,2828,"tags=31%, list=23%, signal=24%","23118/4791/6351/5970/4792/4790/1432/7412/7099/3569" +"WP3945","TYROBP Causal Network",57,-0.470607876805127,-1.25984734373655,0.140518417462483,0.333291843000581,0.251409579462722,2514,"tags=39%, list=20%, signal=31%","3684/864/4066/920/678/10019/10257/3142/113277/4094/64092/5341/6776/6039/3587/1806/951/54518/7133/5996/3071/718" +"WP4494","Selective expression of chemokine receptors during T-cell polarization",16,-0.61627781430795,-1.30671155343687,0.140776699029126,0.333291843000581,0.251409579462722,2929,"tags=50%, list=24%, signal=38%","7040/7042/6351/920/3566/940/7852/7043" +"WP3963","Mevalonate pathway",7,0.69055105403028,1.33106894039181,0.1415313225058,0.333652564545589,0.251681679887135,1003,"tags=43%, list=8%, signal=39%","4598/39/2224" +"WP4583","Biomarkers for urea cycle disorders",8,-0.720401424353174,-1.33801520810018,0.144067796610169,0.33819304797472,0.25510666928741,992,"tags=25%, list=8%, signal=23%","2593/2159" +"WP2290","RalA downstream regulated genes",11,0.616984343503787,1.31241157335274,0.148614609571788,0.343953394521994,0.259451829042811,917,"tags=18%, list=7%, signal=17%","5881/4893" +"WP4553","FBXL10 enhancement of MAP/ERK signaling in diffuse large B-cell lymphoma",11,0.618066957558873,1.31471444413112,0.148614609571788,0.343953394521994,0.259451829042811,1153,"tags=27%, list=9%, signal=25%","84759/2146/23512" +"WP3407","FTO Obesity Variant Mechanism",7,-0.737141817031022,-1.31229348504166,0.148861646234676,0.343953394521994,0.259451829042811,1086,"tags=57%, list=9%, signal=52%","79068/84159/63976/10891" +"WP176","Folate Metabolism",44,-0.480683832405608,-1.25019432088337,0.149232914923291,0.343953394521994,0.259451829042811,1854,"tags=30%, list=15%, signal=25%","3043/6648/4790/1435/3039/3949/4524/6347/2350/12/6649/2878/3569" +"WP4705","Pathways of nucleic acid metabolism and innate immune sensing",13,0.583090004904789,1.31135408055709,0.149625935162095,0.343953394521994,0.259451829042811,2232,"tags=31%, list=18%, signal=25%","10535/103/3661/4938" +"WP732","Serotonin Receptor 2 and ELK-SRF/GATA4 signaling",15,-0.617996348281414,-1.29164224868534,0.151067323481117,0.345831806646854,0.260868757816456,236,"tags=20%, list=2%, signal=20%","9261/6722/3708" +"WP3612","Photodynamic therapy-induced NFE2L2 (NRF2) survival signaling",21,-0.570189895481792,-1.28442353398851,0.152755905511811,0.348258319561907,0.262699131419489,2384,"tags=38%, list=19%, signal=31%","2052/10257/9429/1432/4780/3725/1066/2353" +"WP4565","Neural Crest Cell Migration in Cancer",36,-0.487978917708635,-1.23590372067592,0.156384505021521,0.355069736811158,0.267837137590784,1374,"tags=17%, list=11%, signal=15%","3725/10000/4915/627/4804/2353" +"WP4399","MicroRNA network associated with chronic lymphocytic leukemia",4,-0.806567575085458,-1.30659485532063,0.157221206581353,0.355512442637018,0.268171080613521,1350,"tags=75%, list=11%, signal=67%","7535/4170/596" +"WP3301","MFAP5-mediated ovarian cancer cell motility and invasiveness",13,-0.639079564832203,-1.29813292391979,0.15973377703827,0.359725660484558,0.271349206179688,1374,"tags=31%, list=11%, signal=27%","3725/3690/8076/6263" +"WP4478","LTF danger signal response pathway",14,-0.630241241967544,-1.29893323030499,0.160392798690671,0.359747410828469,0.271365612956303,1683,"tags=21%, list=14%, signal=19%","4790/7099/3569" +"WP4657","22q11.2 Deletion Syndrome",58,-0.459139688763816,-1.2320986344056,0.161684782608696,0.360412238325282,0.271867107381982,1672,"tags=21%, list=14%, signal=18%","8854/8036/4942/5308/7450/2260/9464/59/6722/70/6517/7122" +"WP3617","Photodynamic therapy-induced NF-kB survival signaling",30,-0.514681128728561,-1.25073147119671,0.16236722306525,0.360412238325282,0.271867107381982,1683,"tags=30%, list=14%, signal=26%","4790/7412/8837/5743/599/6401/330/2920/3569" +"WP3670","Simplified Interaction Map Between LOXL4 and Oxidative Stress Pathway",17,-0.597488701604883,-1.28083147448989,0.162640901771337,0.360412238325282,0.271867107381982,1638,"tags=35%, list=13%, signal=31%","4780/308/3490/5310/23411/2252" +"WP2916","Interactome of polycomb repressive complex 2 (PRC2) ",16,0.549418779946081,1.28516286543976,0.1640625,0.361713241055106,0.272848483182362,1153,"tags=25%, list=9%, signal=23%","2146/5928/22823/23512" +"WP4720","Eicosanoid metabolism via Cytochrome P450 Mono-Oxygenases (CYP) pathway",4,-0.804835250156437,-1.30378858476139,0.164533820840951,0.361713241055106,0.272848483182362,1267,"tags=75%, list=10%, signal=67%","66002/5465/2053" +"WP4225","Pyrimidine metabolism and related diseases",12,0.580709706759817,1.27497935519964,0.165413533834586,0.362209872507355,0.273223103525404,1862,"tags=42%, list=15%, signal=35%","6241/790/7298/1890/7372" +"WP2542","Sulindac Metabolic Pathway",4,-0.802265749614226,-1.29962613601822,0.16819012797075,0.366790254237288,0.27667818911686,1610,"tags=100%, list=13%, signal=87%","22921/4482/253827" +"WP2817","Mammary gland development pathway - Pregnancy and lactation (Stage 3 of 4)",25,-0.539379175210211,-1.27220954710782,0.169184290030211,0.366790254237288,0.27667818911686,1261,"tags=24%, list=10%, signal=22%","3717/4609/2908/2099/857/5241" +"WP1455","Serotonin Transporter Activity",8,-0.706628333403954,-1.31243418545138,0.169491525423729,0.366790254237288,0.27667818911686,949,"tags=38%, list=8%, signal=35%","3690/5516/7041" +"WP3851","TLR4 Signaling and Tolerance",25,-0.536910168476245,-1.26638601130371,0.170694864048338,0.367957022111982,0.277558308528324,1891,"tags=36%, list=15%, signal=31%","148022/3635/23118/4792/8737/4790/7099/11213/3569" +"WP1603","Nicotine Activity on Chromaffin Cells",1,-0.908423713610046,-1.21756668615967,0.173003802281369,0.370772619451034,0.279682177317234,1125,"tags=100%, list=9%, signal=91%","" +"WP1545","miRNAs involved in DNA damage response",14,0.568979686181884,1.29011760192145,0.173913043478261,0.370772619451034,0.279682177317234,287,"tags=21%, list=2%, signal=21%","898/993/1869" +"WP2805","exRNA mechanism of action and biogenesis",5,0.728782551156112,1.29550367874552,0.174008810572687,0.370772619451034,0.279682177317234,2558,"tags=40%, list=21%, signal=32%","57510/29102" +"WP4542","Overview of leukocyte-intrinsic Hippo pathway functions",31,-0.503616815115451,-1.23116127216815,0.175757575757576,0.373063973063973,0.281410597200071,2932,"tags=45%, list=24%, signal=34%","2309/83706/83593/4023/387/3683/4303/1432/7005/5906/2308/7003/10413/26524" +"WP1423","Ganglio Sphingolipid Metabolism",8,-0.703892259759247,-1.3073524240565,0.177966101694915,0.376310001293828,0.283859149750427,343,"tags=75%, list=3%, signal=73%","8869/6483/8705/6482/6489/30815" +"WP4342","Vitamins A and D - action mechanisms",3,-0.829052162666763,-1.27659659137119,0.178846153846154,0.376732962854636,0.284178199227229,606,"tags=67%, list=5%, signal=63%","6256/5914" +"WP364","IL-6 signaling pathway",41,-0.470650088907796,-1.21228489837782,0.180535966149506,0.378851989571313,0.285776629032512,1324,"tags=17%, list=11%, signal=15%","2549/3717/3570/3726/9021/3572/3569" +"WP3996","Ethanol effects on histone modifications",28,-0.512185591196412,-1.22833640877072,0.184732824427481,0.386196168803111,0.291316509623475,962,"tags=32%, list=8%, signal=30%","8854/216/8850/126/4524/9759/10014/217/125" +"WP58","Monoamine GPCRs",5,-0.76765070158419,-1.29547918412329,0.186131386861314,0.387657098951759,0.292418522294981,2136,"tags=100%, list=17%, signal=83%","1131/152/154/150" +"WP2645","Heroin metabolism",2,-0.86609036046322,-1.24571481649357,0.196819085487078,0.406563924880596,0.306680368948502,1645,"tags=100%, list=13%, signal=87%","1066" +"WP2826","Cocaine metabolism",2,-0.86609036046322,-1.24571481649357,0.196819085487078,0.406563924880596,0.306680368948502,1645,"tags=100%, list=13%, signal=87%","1066" +"WP100","Glutathione metabolism",16,-0.586666158496733,-1.24392510896885,0.197411003236246,0.406563924880596,0.306680368948502,70,"tags=12%, list=1%, signal=12%","2678/2878" +"WP550","Biogenic Amine Synthesis",3,0.806213880187264,1.24234199325272,0.201244813278008,0.412924542800061,0.311478326983896,621,"tags=33%, list=5%, signal=32%","2571" +"WP3584","MECP2 and Associated Rett Syndrome",51,-0.45231991745164,-1.18782464349592,0.205020920502092,0.417579374846173,0.314989572133632,1651,"tags=25%, list=13%, signal=22%","50937/6446/26084/4354/4204/2593/1052/3479/627/1465/2289/4208/2247" +"WP3611","Photodynamic therapy-induced AP-1 survival signaling.",46,-0.455768929026883,-1.18522256047879,0.205020920502092,0.417579374846173,0.314989572133632,1674,"tags=30%, list=14%, signal=26%","1432/4780/8837/355/1026/3725/4170/5156/3726/1839/596/2252/2353/3569" +"WP4259","Disorders of Folate Metabolism and Transport",11,0.581928542297901,1.23784300496009,0.206549118387909,0.419133045236107,0.316161540867821,961,"tags=36%, list=8%, signal=34%","6472/7298/2618/4522" +"WP47","Hedgehog Signaling Pathway Netpath",12,-0.619709676284936,-1.24099196113358,0.207296849087894,0.419133045236107,0.316161540867821,3357,"tags=92%, list=27%, signal=67%","25942/406/2737/6608/10284/51684/2736/374654/5727/2735/8643" +"WP2018","RANKL/RANK (Receptor activator of NFKB (ligand)) Signaling Pathway",52,-0.448218619434276,-1.18190139061762,0.2125,0.428042203506043,0.322881920562225,3220,"tags=38%, list=26%, signal=28%","7189/9060/5601/5595/1513/23118/2274/4791/5970/7188/4792/4790/1432/7412/9846/3725/7185/4772/4286/2353" +"WP4629","Computational Model of Aerobic Glycolysis",11,0.570209984314,1.21291600108551,0.214105793450882,0.428042203506043,0.322881920562225,2109,"tags=45%, list=17%, signal=38%","2023/7167/5230/2597/2821" +"WP127","IL-5 Signaling Pathway",38,-0.465083592089403,-1.18175225508272,0.214285714285714,0.428042203506043,0.322881920562225,1402,"tags=26%, list=11%, signal=23%","3716/6776/4137/3725/3717/695/4609/6777/596/2353" +"WP2526","PDGF Pathway",39,-0.46291059179232,-1.18214381281481,0.214793741109531,0.428042203506043,0.322881920562225,2732,"tags=26%, list=22%, signal=20%","5321/5159/387/7409/3716/4792/4790/3725/6722/2353" +"WP4312","Rett syndrome causing genes",37,-0.459999509699044,-1.17131167300681,0.217638691322902,0.430884755701784,0.325026122009516,1768,"tags=30%, list=14%, signal=26%","6595/8831/85358/6907/6594/4204/6812/6925/2775/10014/4208" +"WP4337","ncRNAs involved in STAT3 signaling in hepatocellular carcinoma",13,-0.609637031164943,-1.23832765956726,0.217970049916805,0.430884755701784,0.325026122009516,1683,"tags=69%, list=14%, signal=60%","5970/3716/4790/3717/3570/3590/6935/3572/3569" +"WP262","EBV LMP1 signaling",20,-0.549861542676863,-1.22732050065718,0.218553459119497,0.430884755701784,0.325026122009516,2568,"tags=40%, list=21%, signal=32%","4791/5970/4792/4790/7185/9260/4215/9020" +"WP4724","Omega-9 FA synthesis",12,0.553768985102902,1.21582955362596,0.220551378446115,0.433096719722318,0.32669465652624,1248,"tags=25%, list=10%, signal=22%","2194/6319/3992" +"WP3595","mir-124 predicted interactions with cell cycle and differentiation ",6,0.666337498044347,1.24691054419122,0.221238938053097,0.433096719722318,0.32669465652624,768,"tags=33%, list=6%, signal=31%","51804/5725" +"WP136","Phase I biotransformations, non P450",5,-0.739821662940272,-1.24851519359614,0.224452554744526,0.437840546931222,0.330273032741203,1645,"tags=60%, list=13%, signal=52%","8824/2098/1066" +"WP4760","PKC-gamma calcium signaling pathway in ataxia",12,-0.605157079423319,-1.21184983795882,0.225538971807629,0.438416106601495,0.330707190425221,1720,"tags=50%, list=14%, signal=43%","23236/2767/9630/5332/6263/3708" +"WP2113","Type III interferon signaling",6,0.664747957066106,1.2439360524179,0.22787610619469,0.441410359551952,0.332965823184733,2081,"tags=67%, list=17%, signal=55%","7297/6773/10379/6772" +"WP3640","Imatinib and Chronic Myeloid Leukemia",20,-0.544154327300876,-1.21458168935841,0.229559748427673,0.443122301842965,0.334257179995548,2687,"tags=60%, list=22%, signal=47%","5159/4066/5292/1647/9429/1436/9846/4609/25/5156/3815/5243" +"WP395","IL-4 Signaling Pathway",53,-0.439487791416093,-1.16371689376347,0.230769230769231,0.443910256410256,0.334851551956815,2150,"tags=47%, list=18%, signal=39%","6774/5293/3269/1051/5595/3635/9655/5970/9046/6778/3716/4792/3566/6776/8660/4790/1432/9846/2242/4783/3717/6777/9021/2316/2353" +"WP2846","Proprotein convertase subtilisin/kexin type 9 (PCSK9) mediated LDL receptor degradation",1,-0.875071352850037,-1.17286428269115,0.23384030418251,0.446715615576242,0.336967697860095,1534,"tags=100%, list=13%, signal=87%","" +"WP3408","Evolocumab Mechanism",1,-0.875071352850037,-1.17286428269115,0.23384030418251,0.446715615576242,0.336967697860095,1534,"tags=100%, list=13%, signal=87%","" +"WP4484","Control of immune tolerance by vasoactive intestinal peptide",4,-0.761386568477861,-1.23340412386154,0.235831809872029,0.448971899206544,0.338669663661406,2929,"tags=75%, list=24%, signal=57%","7040/940/355" +"WP399","Wnt Signaling Pathway and Pluripotency",86,-0.400753272428136,-1.13936583032022,0.236775818639798,0.449225354542631,0.33886085075703,1778,"tags=23%, list=14%, signal=20%","960/5578/83439/81029/3949/5587/3725/5602/85407/8061/5048/4609/8322/5521/5516/7482/8324/894/120892/5579" +"WP3944","Serotonin and anxiety-related events",6,-0.718857337788404,-1.24129183279836,0.238181818181818,0.449734321700341,0.339244776201853,435,"tags=67%, list=4%, signal=64%","5341/84812/2353/5579" +"WP134","Pentose Phosphate Metabolism",7,0.633352370074243,1.22081584440301,0.238979118329466,0.449734321700341,0.339244776201853,4501,"tags=100%, list=37%, signal=63%","22934/5226/6120/7086/2539/6888/25796" +"WP2037","Prolactin Signaling Pathway",73,-0.413043871266113,-1.14586067120391,0.239735099337748,0.449734321700341,0.339244776201853,1891,"tags=26%, list=15%, signal=22%","5970/3688/3716/4792/6776/8660/4790/1432/9846/3725/3717/4609/2534/8835/6777/9021/6196/2316/2353" +"WP2007","Iron metabolism in placenta",8,0.616110639410739,1.22324675984462,0.240291262135922,0.449734321700341,0.339244776201853,2934,"tags=62%, list=24%, signal=48%","7037/55240/4891/3658/57192" +"WP3585","Cytosine methylation",8,0.612319276791936,1.21571926114198,0.242718446601942,0.450611371237458,0.33990635451505,1135,"tags=38%, list=9%, signal=34%","1786/6996/200424" +"WP12","Osteoclast Signaling",12,0.54090801631812,1.18759260580576,0.243107769423559,0.450611371237458,0.33990635451505,1097,"tags=17%, list=9%, signal=15%","6696/7965" +"WP78","TCA Cycle (aka Krebs or citric acid cycle)",18,-0.546966546511219,-1.18737906735926,0.2432,0.450611371237458,0.33990635451505,2454,"tags=50%, list=20%, signal=40%","3421/3419/8803/8801/1743/8802/4967/50/6392" +"WP437","EGF/EGFR Signaling Pathway",155,-0.368829675291429,-1.1140011992856,0.247072599531616,0.456260733801717,0.344167796540532,1374,"tags=22%, list=11%, signal=20%","2887/6093/5900/4303/5728/9046/3716/5170/5578/6776/1432/9846/3725/2549/4205/54206/3717/5906/9252/4846/6812/2308/25/10253/4215/6777/6196/857/4208/2353/4209/3727/5579/2354" +"WP2873","Aryl Hydrocarbon Receptor Pathway",31,-0.472697486596291,-1.15557467797251,0.251515151515152,0.462921574549482,0.349192219449257,3009,"tags=39%, list=25%, signal=29%","26509/57491/405/7040/1545/8648/51426/4780/3725/3726/10486/3727" +"WP3863","T-Cell antigen Receptor (TCR) pathway during Staphylococcus aureus infection",50,-0.436863724954575,-1.14531286777697,0.254545454545455,0.465493793473836,0.351132502392386,3325,"tags=44%, list=27%, signal=32%","5133/27040/5601/5595/915/805/3937/8915/920/801/5788/4773/4792/940/3702/4790/3725/2534/6237/1326/9020/2353" +"WP4258","LncRNA involvement in canonical Wnt signaling and colorectal cancer",76,-0.403556638271017,-1.12629855245576,0.254593175853018,0.465493793473836,0.351132502392386,1778,"tags=22%, list=14%, signal=19%","83439/81029/6423/3725/85407/5176/8061/22943/4609/4920/4919/7482/8324/894/467/6422/64321" +"WP4269","Ethanol metabolism resulting in production of ROS by CYP2E1",9,-0.635976954792988,-1.21172862963851,0.25546218487395,0.465546218487395,0.351172047766475,2156,"tags=44%, list=18%, signal=37%","4097/4780/7975/23764" +"WP4564","Neural Crest Cell Migration during Development",33,-0.462906758999675,-1.14280373203889,0.26015037593985,0.472535436953038,0.356444173418879,1374,"tags=15%, list=11%, signal=13%","3725/10000/627/4804/2353" +"WP4298","Viral Acute Myocarditis",70,-0.405931686802972,-1.12412875804647,0.262187088274045,0.473966086614308,0.357523344833518,2374,"tags=30%, list=19%, signal=24%","3108/920/842/199/3716/1604/7100/7852/60/7098/7099/6443/25/2534/6444/1756/596/3908/857/6442/3569" +"WP678","Arachidonate Epoxygenase / Epoxide Hydrolase",5,-0.720037570268548,-1.21512776858618,0.262773722627737,0.473966086614308,0.357523344833518,446,"tags=40%, list=4%, signal=39%","2950/2053" +"WP111","Electron Transport Chain (OXPHOS system in mitochondria)",70,-0.404845153425867,-1.121119868976,0.263504611330698,0.473966086614308,0.357523344833518,1894,"tags=17%, list=15%, signal=15%","293/4698/7386/4714/6392/7385/1350/4724/9481/291/7381/1346" +"WP4698","Vitamin D-sensitive calcium signaling in depression",22,-0.5134032330874,-1.17483858381374,0.268217054263566,0.480881061689371,0.362739467016303,1638,"tags=36%, list=13%, signal=32%","4780/23135/775/6546/1593/493/596/3708" +"WP4341","Non-genomic actions of 1,25 dihydroxyvitamin D3",58,-0.419427205786148,-1.12553042163058,0.275815217391304,0.491333243522385,0.370623784302464,1720,"tags=21%, list=14%, signal=18%","23236/4790/1432/7099/3725/817/5336/5332/6347/857/5579/3569" +"WP2359","Parkin-Ubiquitin Proteasomal System pathway",59,0.345330038640725,1.09883296877405,0.276119402985075,0.491333243522385,0.370623784302464,2038,"tags=27%, list=17%, signal=23%","898/5709/10381/5717/10213/8573/5708/3309/203068/5714/51182/5718/5706/5704/118424/5710" +"WP4519","Cerebral Organic Acidurias, including diseases",7,-0.671021944493466,-1.19458387210409,0.276707530647986,0.491333243522385,0.370623784302464,1075,"tags=29%, list=9%, signal=26%","501/137872" +"WP43","Oxidation by Cytochrome P450",30,-0.471308323853424,-1.14533080848849,0.277693474962064,0.491508578686848,0.370756043584797,2669,"tags=30%, list=22%, signal=24%","1545/9420/1577/285440/113612/57404/1727/1593/51302" +"WP3942","PPAR signaling pathway",45,-0.429432073950281,-1.11812808518975,0.280945757997218,0.494543732123663,0.373045528506734,2302,"tags=33%, list=19%, signal=27%","6257/376497/5170/51129/23205/5360/948/2182/5465/34/3611/1593/2167/10580/8309" +"WP4241","Type 2 papillary renal cell carcinoma",30,-0.469776493910697,-1.14160829407918,0.282245827010622,0.494543732123663,0.373045528506734,3443,"tags=47%, list=28%, signal=34%","112398/1387/54583/1513/405/7040/7030/7042/2034/9915/1026/7043/81578/7942" +"WP3850","Factors and pathways affecting insulin-like growth factor (IGF1)-Akt signaling",29,-0.470189982703728,-1.13266402286346,0.284839203675345,0.494543732123663,0.373045528506734,2266,"tags=31%, list=18%, signal=25%","3688/5728/4790/84557/3488/114907/3611/3479/10891" +"WP2453","TCA Cycle and Deficiency of Pyruvate Dehydrogenase complex (PDHc)",15,0.498153280104064,1.14693137568047,0.28498727735369,0.494543732123663,0.373045528506734,49,"tags=7%, list=0%, signal=7%","47" +"WP496","Steroid Biosynthesis",4,0.72097485115291,1.20799571376043,0.285087719298246,0.494543732123663,0.373045528506734,1869,"tags=50%, list=15%, signal=42%","3292/51478" +"WP2456","HIF1A and PPARG regulation of glycolysis",6,0.638358622940121,1.19455396140178,0.285398230088496,0.494543732123663,0.373045528506734,4439,"tags=100%, list=36%, signal=64%","7167/2597/5468/3939/6513/3091" +"WP3982","miRNA regulation of p53 pathway in prostate cancer",23,0.438123833386753,1.12980029409198,0.286127167630058,0.494543732123663,0.373045528506734,2274,"tags=30%, list=19%, signal=25%","637/11200/317/581/27113/64065/836" +"WP2371","Parkinsons Disease Pathway",31,0.407580501350653,1.13752261141839,0.286549707602339,0.494543732123663,0.373045528506734,117,"tags=10%, list=1%, signal=10%","835/898/9134" +"WP2112","IL17 signaling pathway",27,-0.473056074409006,-1.12877304583615,0.287901990811639,0.495334481085863,0.373642008343317,3262,"tags=48%, list=27%, signal=35%","6774/7189/1051/5595/53342/54756/5970/3716/4790/84818/3717/1052/9020" +"WP2291","Deregulation of Rab and Rab Effector Genes in Bladder Cancer",15,-0.558397018660697,-1.16707676808741,0.288998357963875,0.495681394154758,0.373903692721716,891,"tags=47%, list=7%, signal=43%","9648/79083/94121/83874/94120/5873/25924" +"WP3658","Wnt/beta-catenin Signaling Pathway in Leukemia",21,-0.512853220289112,-1.15526555423177,0.292913385826772,0.499673517322372,0.376915041567512,1121,"tags=24%, list=9%, signal=22%","22943/4609/862/5914/7704" +"WP4561","Cell migration and invasion through p75NTR",28,-0.469638460619927,-1.12629880663174,0.293129770992366,0.499673517322372,0.376915041567512,1374,"tags=18%, list=11%, signal=16%","3725/10000/4915/627/4804" +"WP3853","ERK Pathway in Huntington's Disease",13,-0.570317404688672,-1.15845951091432,0.29450915141431,0.500484876943336,0.377527068490413,1214,"tags=23%, list=10%, signal=21%","9252/4915/627" +"WP1559","TFs Regulate miRNAs related to cardiac hypertrophy",7,-0.65748108846836,-1.17047782258542,0.297723292469352,0.504399706507709,0.380480113022156,3262,"tags=71%, list=27%, signal=52%","208/6774/7040/50804/4790" +"WP1425","Bone Morphogenic Protein (BMP) Signalling and Regulation",10,-0.599135808621072,-1.15982855032112,0.300168634064081,0.506992144120429,0.382435647379461,3114,"tags=80%, list=25%, signal=60%","4086/10140/659/4091/4089/650/657/10766" +"WP3941","Oxidative Damage",37,-0.43402300547821,-1.10516685768368,0.307254623044097,0.517383164639604,0.390273829302532,2532,"tags=38%, list=21%, signal=30%","712/728/842/727/1647/4790/1026/5602/7185/7133/716/1028/715/596" +"WP3596","miR-517 relationship with ARCN1 and USP1",5,-0.701676650941553,-1.18414207582201,0.308394160583942,0.517728378677284,0.390534232063237,1465,"tags=60%, list=12%, signal=53%","3397/1026/3398" +"WP4146","Macrophage markers",9,-0.604332282740576,-1.15143594951473,0.315966386554622,0.527907995618839,0.398212947483715,4008,"tags=78%, list=33%, signal=52%","9308/968/9332/5880/929/972/2152" +"WP4186","Somatroph axis (GH) and its relationship to dietary restriction and aging",6,-0.671287283821893,-1.15914991621715,0.316363636363636,0.527907995618839,0.398212947483715,2187,"tags=50%, list=18%, signal=41%","5728/2308/23411" +"WP4300","Extracellular vesicles in the crosstalk of cardiac cells",17,-0.522347184555542,-1.119751240137,0.334943639291465,0.555607802799309,0.419107538877685,1486,"tags=53%, list=12%, signal=47%","5728/3791/2114/7099/3479/10611/975/8470/3569" +"WP2857","Mesodermal Commitment Pathway",116,-0.366763454577847,-1.07371031092087,0.334969325153374,0.555607802799309,0.419107538877685,2852,"tags=34%, list=23%, signal=27%","23499/4091/203228/4089/655/6001/58499/1488/6615/79776/8313/55809/23576/5573/1466/28514/652/5087/8646/83439/23373/657/4780/5090/5308/3717/57198/22943/84159/7003/4211/9760/6925/8322/10413/2260/2627/6722/9314/64321" +"WP3613","Photodynamic therapy-induced unfolded protein response",24,0.420857258987172,1.08874893331142,0.337278106508876,0.557767376137066,0.420736553916807,1927,"tags=33%, list=16%, signal=28%","10130/7184/811/51726/57761/3309/27113/10018" +"WP1589","Folate-Alcohol and Cancer Pathway Hypotheses",8,-0.608349536372598,-1.12989911456391,0.340677966101695,0.56133748281103,0.423429566171345,3938,"tags=88%, list=32%, signal=59%","1385/4548/1051/128/10840/216/4524" +"WP1449","Regulation of toll-like receptor signaling pathway",111,-0.365542960124691,-1.06682625453481,0.341463414634146,0.56133748281103,0.423429566171345,3277,"tags=36%, list=27%, signal=27%","929/7189/5293/5601/5606/5595/8503/54461/148022/23533/7096/23118/4091/79004/4791/23098/6351/5970/54472/23643/4792/7100/1540/8737/7128/4790/1432/7098/7099/3725/5602/10771/695/8727/10000/57161/11213/1326/2353/3569" +"WP453","Inflammatory Response Pathway",22,-0.482494814890021,-1.10410976887317,0.342635658914729,0.56159809183065,0.423626149452343,3595,"tags=55%, list=29%, signal=39%","3932/7132/3561/958/7535/7059/3915/3566/940/7057/7133/3913" +"WP4524","The alternative pathway of fetal androgen synthesis",4,-0.712111533454146,-1.15358129283475,0.343692870201097,0.561669174310937,0.423679768575797,433,"tags=50%, list=4%, signal=48%","1528/8630" +"WP4197","The human immune response to tuberculosis",23,0.417643777463188,1.07698788937389,0.346820809248555,0.56511390683441,0.426278208271444,3876,"tags=57%, list=32%, signal=39%","7297/6773/10379/3437/6772/4938/6890/4599/5771/3460/9282/5696/3455" +"WP384","Apoptosis Modulation by HSP70",18,0.450898582228663,1.08282595197324,0.350132625994695,0.568837169504578,0.42908674955979,1263,"tags=22%, list=10%, signal=20%","835/637/317/839" +"WP615","Senescence and Autophagy in Cancer",93,-0.370743755112995,-1.06290825775089,0.353673723536737,0.572910066781732,0.432159028144305,1745,"tags=17%, list=14%, signal=15%","7057/1432/3490/9547/1026/3725/84557/3488/3570/81631/3479/596/23710/3572/2934/3569" +"WP363","Wnt Signaling Pathway (Netpath)",48,-0.410718904977567,-1.06736380224482,0.356241234221599,0.575386716497859,0.434027221070967,1064,"tags=27%, list=9%, signal=25%","1452/387/7249/8313/5578/4773/7010/4609/4920/6925/4919/8395/5579" +"WP2876","Pregnane X Receptor pathway",18,-0.504420778584322,-1.09501884064458,0.36,0.579767441860465,0.437331701346389,2634,"tags=33%, list=21%, signal=26%","8648/1577/10257/2308/5243/10891" +"WP4224","Purine metabolism and related disorders",19,0.440061045999739,1.06819526275565,0.363387978142077,0.581840866736157,0.438895732651063,743,"tags=32%, list=6%, signal=30%","10606/3704/1716/3251/5471/2618" +"WP4288","MTHFR deficiency",19,0.441564506115428,1.07184473136442,0.363387978142077,0.581840866736157,0.438895732651063,841,"tags=21%, list=7%, signal=20%","2906/1786/1789/1788" +"WP4483","Relationship between inflammation, COX-2 and EGFR",22,-0.464475347238321,-1.06287519048983,0.368992248062016,0.588205839125012,0.443696975361258,1407,"tags=36%, list=11%, signal=32%","5293/5595/51365/5743/5734/10000/2099/5733" +"WP2035","Follicle Stimulating Hormone (FSH) signaling pathway",22,-0.463523354991416,-1.06069671331814,0.370542635658915,0.588205839125012,0.443696975361258,3131,"tags=41%, list=26%, signal=31%","5595/6194/7249/5578/1432/6446/374/2308/627" +"WP4758","Nephrotic syndrome",33,-0.43316234442618,-1.06937203694902,0.371428571428571,0.588205839125012,0.443696975361258,911,"tags=15%, list=7%, signal=14%","4000/3913/83478/1286/11346" +"WP4518","Gamma-Glutamyl Cycle for the biosynthesis and degradation of glutathione, including diseases",5,0.639653233439367,1.13706498012006,0.372246696035242,0.588205839125012,0.443696975361258,2267,"tags=60%, list=18%, signal=49%","79017/26873/2937" +"WP3302","eIF5A regulation in response to inhibition of the nuclear export system",3,0.72428600979135,1.11609455902724,0.37344398340249,0.588205839125012,0.443696975361258,2742,"tags=67%, list=22%, signal=52%","7514/1984" +"WP4722","Glycerolipids and Glycerophospholipids",18,0.443478108165871,1.06500579859991,0.374005305039788,0.588205839125012,0.443696975361258,3552,"tags=50%, list=29%, signal=36%","9791/5833/10400/54675/55500/1040/84649/8694/57678" +"WP1584","Type II diabetes mellitus",14,-0.529166050854214,-1.09061629425894,0.374795417348609,0.588205839125012,0.443696975361258,115,"tags=50%, list=1%, signal=50%","3667/5594/6834/3551/3643/23533/6517" +"WP2289","Drug Induction of Bile Acid Pathway",4,-0.694765368114686,-1.12548146451017,0.380255941499086,0.592278244631186,0.446768882991793,2260,"tags=50%, list=18%, signal=41%","10257/5243" +"WP143","Fatty Acid Beta Oxidation",27,-0.447716674075732,-1.06830995564207,0.382848392036753,0.592278244631186,0.446768882991793,3411,"tags=48%, list=28%, signal=35%","3032/1632/57104/788/4023/1374/3033/3991/3030/1384/2182/34/38" +"WP3859","TGF-B Signaling in Thyroid Cells for Epithelial-Mesenchymal Transition",17,-0.50186640453637,-1.07584676529054,0.384863123993559,0.592278244631186,0.446768882991793,4229,"tags=59%, list=34%, signal=39%","5594/3397/4087/3371/5595/7040/4089/6615/1004/7431" +"WP727","Monoamine Transport",17,-0.501799752624678,-1.07570388415136,0.384863123993559,0.592278244631186,0.446768882991793,1949,"tags=53%, list=16%, signal=45%","273/183/1432/60482/10497/114907/3690/5516/7041" +"WP4292","Methionine metabolism leading to Sulphur Amino Acids and related disorders",9,-0.578300887098258,-1.10183826027219,0.384873949579832,0.592278244631186,0.446768882991793,248,"tags=44%, list=2%, signal=44%","27430/635/4548/1036" +"WP4479","Supression of HMGB1 mediated inflammation by THBD",9,-0.578147662384566,-1.10154632080654,0.384873949579832,0.592278244631186,0.446768882991793,2399,"tags=67%, list=20%, signal=54%","7056/8517/3551/5970/4792/4790" +"WP698","Glucuronidation",9,-0.577466156342071,-1.1002478454817,0.384873949579832,0.592278244631186,0.446768882991793,71,"tags=44%, list=1%, signal=44%","3098/5236/7360/5239" +"WP4495","IL-10 Anti-inflammatory Signaling Pathway ",11,-0.557059455234525,-1.10026107435266,0.386776859504132,0.593557839793045,0.447734110579211,48,"tags=27%, list=0%, signal=27%","3716/3587/3569" +"WP3971","Role of Osx and miRNAs in tooth development",10,-0.564283191145476,-1.09235960551768,0.387858347386172,0.593573271966683,0.447745751417012,3191,"tags=50%, list=26%, signal=37%","4853/655/4855/22943/9314" +"WP3529","Zinc homeostasis",24,0.402638749574989,1.04161803021906,0.390532544378698,0.596019365250135,0.449590894935024,1824,"tags=38%, list=15%, signal=32%","55630/55676/201266/7922/29985/148867/27173/57181/55334" +"WP690","Polyol Pathway",3,0.714075842567785,1.10036111680838,0.392116182572614,0.59679221193744,0.450173870680532,2353,"tags=67%, list=19%, signal=54%","231/6652" +"WP3680","Association Between Physico-Chemical Features and Toxicity Associated Pathways",55,-0.389979357081053,-1.03786936494655,0.393646408839779,0.597479754786952,0.450692499810792,1825,"tags=16%, list=15%, signal=14%","6776/8536/1026/3725/4609/8322/58/8324/4638" +"WP3925","Amino Acid metabolism",66,-0.383941301514217,-1.05302299917537,0.395502645502646,0.59811834867102,0.451174205628719,2417,"tags=26%, list=20%, signal=21%","384/2746/128/445/1743/8802/4967/50/216/151742/4942/34/501/4953/126/8639/5166" +"WP3580","Methionine De Novo and Salvage Pathway",19,-0.478745096628679,-1.05656757268741,0.39622641509434,0.59811834867102,0.451174205628719,1610,"tags=26%, list=13%, signal=23%","22921/4144/4953/4482/253827" +"WP3657","Hematopoietic Stem Cell Gene Regulation by GABP alpha/beta Complex",19,0.424824309717974,1.03120991796317,0.398907103825137,0.600528629128059,0.452992334721337,841,"tags=21%, list=7%, signal=20%","1786/1789/6597/1788" +"WP3664","Regulation of Wnt/B-catenin Signaling by Small Molecule Compounds",16,-0.496436941953631,-1.05260950912558,0.406148867313916,0.608417584547305,0.458943152318601,3103,"tags=44%, list=25%, signal=33%","8325/324/1452/27122/4035/6925/8324" +"WP561","Heme Biosynthesis",8,0.536905292600347,1.06598980362513,0.407766990291262,0.608417584547305,0.458943152318601,923,"tags=25%, list=8%, signal=23%","3145/1371" +"WP528","Acetylcholine Synthesis",4,0.658824636227273,1.10386282601906,0.407894736842105,0.608417584547305,0.458943152318601,4091,"tags=50%, list=33%, signal=33%","10400/5130" +"WP4216","Chromosomal and microsatellite instability in colorectal cancer ",71,-0.372089318190405,-1.02956901010671,0.409271523178808,0.608417584547305,0.458943152318601,2761,"tags=32%, list=23%, signal=25%","4089/1452/387/7042/8313/5900/842/1647/51426/83439/10912/1026/5743/3725/5602/7043/4609/10000/9423/4616/596/2353/7048" +"WP4767","FGFR3 signalling in chondrocyte proliferation and terminal differentiation",24,-0.443481904805737,-1.04147754420425,0.409638554216867,0.608417584547305,0.458943152318601,2689,"tags=33%, list=22%, signal=26%","650/6615/652/1432/1026/4882/7067/5745" +"WP2038","Regulation of Microtubule Cytoskeleton",42,0.348257037634053,1.02820961176323,0.410958904109589,0.608560606060606,0.459051036682616,700,"tags=17%, list=6%, signal=16%","11004/983/9212/3984/3925/2048/2932" +"WP3965","Lipid Metabolism Pathway",26,0.382971929168465,1.02630159267562,0.411931818181818,0.608560606060606,0.459051036682616,485,"tags=12%, list=4%, signal=11%","47/2194/29923" +"WP368","Mitochondrial LC-Fatty Acid Beta-Oxidation",16,-0.491140684329963,-1.04137970194098,0.414239482200647,0.610342215795635,0.460394945223004,3285,"tags=44%, list=27%, signal=32%","1632/788/1374/3033/3030/2182/34" +"WP688","Catalytic cycle of mammalian Flavin-containing MonoOxygenases (FMOs)",3,-0.712133862471584,-1.09656268009355,0.415384615384615,0.610406039583758,0.460443088950698,3267,"tags=100%, list=27%, signal=73%","2329/2327" +"WP3934","Leptin and adiponectin",8,-0.573487917528864,-1.06514996969126,0.422033898305085,0.618536454129675,0.466576044631352,601,"tags=38%, list=5%, signal=36%","5564/1374/3953" +"WP2875","Constitutive Androstane Receptor Pathway",17,-0.489757470924579,-1.04988894675634,0.423510466988728,0.61906279343471,0.46697307428003,1104,"tags=29%, list=9%, signal=27%","8648/1577/2308/5243/10891" +"WP4562","Canonical NF-KB pathway",8,-0.568421982425598,-1.05574091248748,0.430508474576271,0.627636039250669,0.473440067608808,2399,"tags=50%, list=20%, signal=40%","3551/5970/4792/4790" +"WP75","Toll-like Receptor Signaling Pathway",78,-0.362702475922421,-1.01692564660777,0.432679738562092,0.628528292558029,0.474113114469955,3277,"tags=36%, list=27%, signal=26%","929/7189/5293/5601/5606/5595/8503/148022/23533/7096/23118/6351/5970/54472/23643/4792/7100/8737/4790/1432/7098/7099/3725/5602/10000/1326/2353/3569" +"WP3630","NAD metabolism, sirtuins and aging",10,-0.542314954224904,-1.0498327059165,0.433389544688027,0.628528292558029,0.474113114469955,1683,"tags=60%, list=14%, signal=52%","10135/2309/23410/4790/2308/23411" +"WP3601","Composition of Lipid Particles",4,-0.670261620451634,-1.08578674875219,0.435100548446069,0.629362151015986,0.474742112774741,2933,"tags=75%, list=24%, signal=57%","3931/4023/3949" +"WP4673","Genes involved in male infertility",85,-0.355778128499587,-1.01129506019891,0.436477987421384,0.629710429769392,0.475004827319872,1950,"tags=26%, list=16%, signal=22%","367/8476/472/6648/7057/9194/4780/355/6948/4846/340719/7320/8787/2099/143689/3983/4524/5243/596/2775/1191/6649" +"WP4147","PTF1A related regulatory pathway",5,-0.629330677952683,-1.06205177893462,0.445255474452555,0.640705280121339,0.483298491750278,1496,"tags=60%, list=12%, signal=53%","4851/3516/8850" +"WP4148","Splicing factor NOVA regulated synaptic proteins",31,-0.409975035937273,-1.00224093328974,0.453030303030303,0.650204113675616,0.490463676855823,1120,"tags=26%, list=9%, signal=24%","23136/54386/4134/2054/2037/5332/3778/57863" +"WP3874","Canonical and Non-Canonical TGF-B signaling",17,-0.476239325149383,-1.02091021203031,0.455716586151369,0.651829147716037,0.491689476806511,3811,"tags=59%, list=31%, signal=41%","4087/4016/84171/5601/659/7040/4089/1432/657/7048" +"WP4189","Mevalonate arm of cholesterol biosynthesis pathway with inhibitors",2,0.739928233567118,1.06391770280984,0.456913827655311,0.651829147716037,0.491689476806511,3191,"tags=100%, list=26%, signal=74%","4597/3156" +"WP733","Serotonin Receptor 2 and STAT3 Signaling",3,-0.674414811189952,-1.03848188076122,0.457692307692308,0.651829147716037,0.491689476806511,3996,"tags=100%, list=33%, signal=67%","6774/3717" +"WP4504","Cysteine and methionine catabolism",13,-0.500665450554921,-1.01697870030491,0.46089850249584,0.654712231750501,0.493864252336973,248,"tags=23%, list=2%, signal=23%","4548/6821/1036" +"WP3998","Prader-Willi and Angelman Syndrome",30,-0.411344389066711,-0.999611884307602,0.464339908952959,0.657913835191661,0.496279294263897,942,"tags=20%, list=8%, signal=19%","5108/9638/4692/4487/627/894" +"WP3958","GPR40 Pathway",13,-0.499302365322767,-1.01420992797148,0.467554076539101,0.660777955108832,0.498439764731534,1720,"tags=46%, list=14%, signal=40%","23236/113026/2767/5336/5310/5334" +"WP3915","Angiopoietin Like Protein 8 Regulatory Pathway",117,-0.338410169831958,-0.991921535958344,0.485257985257985,0.683281348745235,0.515414583796044,3310,"tags=30%, list=27%, signal=22%","4216/10062/1977/5293/5601/5606/2309/5595/8503/7068/6655/5286/4023/9064/2889/7249/7786/23433/5170/57521/8660/1432/25759/5602/9252/5563/2308/4215/51422/7067/1326/6567/9020/6196/6517" +"WP1982","Sterol Regulatory Element-Binding Proteins (SREBP) signalling",64,0.309984767107206,0.989792867839255,0.485943775100402,0.683281348745235,0.515414583796044,2324,"tags=22%, list=19%, signal=18%","47/2194/6319/7528/6713/2224/6720/10483/6396/2475/1622/51141/3837/4597" +"WP311","Synthesis and Degradation of Ketone Bodies",5,-0.605008519773591,-1.02100596269431,0.489051094890511,0.68406826307577,0.516008171083186,2248,"tags=60%, list=18%, signal=49%","3158/5019/38" +"WP2864","Apoptosis-related network due to altered Notch3 in ovarian cancer",50,-0.381773624922786,-1.00088476159789,0.48951048951049,0.68406826307577,0.516008171083186,1745,"tags=22%, list=14%, signal=19%","7057/4790/308/1026/8870/7185/4092/25/7431/9021/3727" +"WP619","Type II interferon signaling (IFNG)",31,0.342459121029187,0.95577436203706,0.491228070175439,0.68406826307577,0.516008171083186,2344,"tags=29%, list=19%, signal=24%","5610/9636/2537/6773/3627/10379/6772/4938/4283" +"WP438","Non-homologous end joining",10,0.474872665082603,0.994288146872933,0.491442542787286,0.68406826307577,0.516008171083186,4169,"tags=50%, list=34%, signal=33%","5591/7518/27434/64421/7520" +"WP4262","Breast cancer pathway",121,-0.333874367961316,-0.98422130077366,0.496332518337408,0.689143396388281,0.51983645898945,1881,"tags=22%, list=15%, signal=19%","28514/5728/4855/1647/472/51426/83439/23493/81029/25759/10912/1026/6500/3725/4609/10000/2099/4616/3815/3479/2260/7482/8324/2252/2247/2353/5241" +"WP229","Irinotecan Pathway",7,-0.563966104721881,-1.00399818313346,0.507880910683012,0.702324456417485,0.529779230852634,2447,"tags=57%, list=20%, signal=46%","1577/9429/8824/1066" +"WP268","Notch Signaling",40,0.324497795656443,0.953651114614969,0.508361204013378,0.702324456417485,0.529779230852634,1485,"tags=18%, list=12%, signal=15%","2648/6868/3066/23385/151636/4854/51107" +"WP2324","AGE/RAGE pathway",63,-0.36423124058568,-0.987560696763441,0.51006711409396,0.70292831146282,0.530234732378377,3305,"tags=38%, list=27%, signal=28%","3958/6774/5601/5595/4313/5321/4478/387/5970/6093/842/4303/5578/4792/6776/4790/1432/3725/3717/4846/2308/6777/3625/5579" +"WP4286","Genotoxicity pathway",49,-0.376474636301815,-0.978146277572307,0.513437057991513,0.705373058314235,0.532078860252235,1725,"tags=43%, list=14%, signal=37%","84312/10210/11072/23002/91947/79671/10346/9209/9693/1647/6232/80271/1026/1263/5734/7832/1052/29950/3398/59/3708" +"WP3651","Pathways Affected in Adenoid Cystic Carcinoma",56,0.311216213099264,0.982447898682645,0.514492753623188,0.705373058314235,0.532078860252235,1134,"tags=12%, list=9%, signal=11%","29128/672/1111/4602/11200/5591/4613" +"WP2868","TCA Cycle Nutrient Utilization and Invasiveness of Ovarian Cancer",5,-0.593999882996221,-1.00242790400014,0.516423357664234,0.705373058314235,0.532078860252235,4229,"tags=80%, list=34%, signal=52%","5594/6774/5595/3716" +"WP4206","Hereditary leiomyomatosis and renal cell carcinoma pathway",19,-0.445557685887425,-0.983324541567945,0.517295597484277,0.705373058314235,0.532078860252235,1638,"tags=32%, list=13%, signal=27%","5162/54583/6194/4780/8452/32" +"WP4357","NRF2-ARE regulation",22,0.371107876406758,0.951850833210632,0.518207282913165,0.705373058314235,0.532078860252235,1798,"tags=27%, list=15%, signal=23%","192111/2048/2932/7965/2730/7525" +"WP2261","Signaling Pathways in Glioblastoma",80,0.284174568402245,0.950717137142876,0.521186440677966,0.707689431704885,0.533826153119589,917,"tags=11%, list=7%, signal=10%","898/672/675/1869/1017/1019/5590/2956/4893" +"WP2272","Pathogenic Escherichia coli infection",47,-0.372620797969452,-0.969232106851218,0.523076923076923,0.708519842016175,0.534452550409313,2636,"tags=34%, list=21%, signal=27%","387/9475/6093/3688/23643/5578/7846/347733/7280/7454/7100/60/7099/25/2534/84617" +"WP3938","miR-222 in Exercise-Induced Cardiac Growth",4,-0.626519846079316,-1.01492749390127,0.524680073126143,0.708957952468007,0.534783027037429,4508,"tags=100%, list=37%, signal=63%","204851/28996/79618" +"WP2643","Nanoparticle-mediated activation of receptor signaling",28,-0.398351712590285,-0.955337128730705,0.526717557251908,0.709979383741015,0.535553515761321,2266,"tags=25%, list=18%, signal=20%","3688/3672/1432/5602/374/7094/10000" +"WP2332","Interleukin-11 Signaling Pathway",40,-0.373929955938385,-0.955277136178694,0.529160739687055,0.711541382977254,0.536731767132757,1337,"tags=18%, list=11%, signal=16%","2242/3717/2534/3590/596/9021/3572" +"WP1742","TP53 Network",18,-0.443422954343401,-0.962602077462073,0.5328,0.714700242130751,0.539114566076208,2012,"tags=39%, list=16%, signal=33%","1647/472/666/1026/4609/25/596" +"WP2447","Amyotrophic lateral sclerosis (ALS)",30,-0.393197626468694,-0.955513265153361,0.541729893778452,0.724923577664885,0.546826259420406,1065,"tags=17%, list=9%, signal=15%","1432/1471/5532/596/5533" +"WP1403","AMP-activated Protein Kinase (AMPK) Signaling",56,-0.356753713667904,-0.950685389233134,0.544077134986226,0.726246124782019,0.547823886639676,1858,"tags=21%, list=15%, signal=18%","1938/29904/23236/51719/84254/1026/5563/133522/51422/3953/32/6517" +"WP702","Metapathway biotransformation Phase I and II",90,-0.331884947921445,-0.946397988412624,0.545340050377834,0.726246124782019,0.547823886639676,2669,"tags=21%, list=22%, signal=17%","1545/9420/2327/57016/1577/2052/285440/8514/9469/4837/113612/57404/7881/1593/51302/2053/11185/2949/2878" +"WP3678","Amplification and Expansion of Oncogenic Pathways as Metastatic Traits",17,0.396598575627267,0.942682060912279,0.551181102362205,0.732264582035159,0.552363745141475,1014,"tags=18%, list=8%, signal=16%","7472/7428/10631" +"WP1946","Cori Cycle",14,-0.456007027019577,-0.939834846096625,0.55810147299509,0.739533190404919,0.557846620921058,115,"tags=14%, list=1%, signal=14%","3098/6517" +"WP254","Apoptosis",80,0.280738859164702,0.939222837463855,0.559322033898305,0.739533190404919,0.557846620921058,1927,"tags=21%, list=16%, signal=18%","835/332/637/3070/1676/3663/7186/8718/1677/317/839/581/56616/3661/8772/27113/10018" +"WP1602","Nicotine Activity on Dopaminergic Neurons",11,-0.478741547452283,-0.945573554828799,0.563636363636364,0.743463203463203,0.560811118705856,1403,"tags=55%, list=11%, signal=48%","2770/108/54331/6571/84152/3777" +"WP4685","Melanoma",63,-0.346530021316886,-0.939566383023237,0.566442953020134,0.743776084989639,0.561047132321654,3203,"tags=38%, list=26%, signal=28%","5293/2113/5595/8503/6655/805/91860/808/801/5728/3791/1647/51426/8649/25759/80243/10912/1026/7414/10000/4286/4616/3815/2353" +"WP2583","T-Cell Receptor and Co-stimulatory Signaling",27,-0.389492100945826,-0.929378585113825,0.566615620214395,0.743776084989639,0.561047132321654,3626,"tags=59%, list=30%, signal=42%","1859/926/7535/5133/805/5530/1452/801/5728/5578/4773/4792/940/3702/4790/2534" +"WP710","DNA Damage Response (only ATM dependent)",100,-0.324478661041044,-0.936286348383179,0.567901234567901,0.743776084989639,0.561047132321654,3203,"tags=33%, list=26%, signal=25%","5293/5601/2309/8503/324/5934/6655/5286/896/7040/23533/847/4089/387/4791/5527/5728/472/6648/83439/81029/4790/3949/1026/3725/5602/8061/4609/25/10000/7482/596/894" +"WP205","IL-7 Signaling Pathway",25,-0.392890589566424,-0.926693469061768,0.569486404833837,0.744093085561192,0.561286253026398,3595,"tags=44%, list=29%, signal=31%","3561/5295/6774/5595/2185/3716/6776/3574/4609/2534/6777" +"WP4142","Metabolism of Spingolipids in ER and Golgi apparatus",15,-0.444386279064418,-0.928788809791323,0.579638752052545,0.752631818285169,0.567727212348873,2115,"tags=33%, list=17%, signal=28%","2531/7357/64781/166929/256435" +"WP2854","Gene regulatory network modelling somitogenesis ",6,0.489435363281967,0.915875388924504,0.579646017699115,0.752631818285169,0.567727212348873,1965,"tags=33%, list=16%, signal=28%","2043/3280" +"WP4153","Degradation pathway of sphingolipids, including diseases",8,0.46703712510794,0.927271196877625,0.580097087378641,0.752631818285169,0.567727212348873,4395,"tags=62%, list=36%, signal=40%","2717/2720/10825/4758/3073" +"WP3286","Copper homeostasis",47,-0.358460039965461,-0.932398249509891,0.586013986013986,0.755984072301015,0.570255893413459,1719,"tags=19%, list=14%, signal=17%","4502/4137/5621/3725/4493/261729/2308/79689/6649" +"WP4150","Wnt Signaling in Kidney Disease",27,-0.383594467756489,-0.915306068686108,0.586523736600306,0.755984072301015,0.570255893413459,1730,"tags=19%, list=14%, signal=16%","81029/5602/8322/7482/8324" +"WP4536","Genes related to primary cilium development (based on CRISPR)",95,0.274731147313717,0.94925630038194,0.588235294117647,0.755984072301015,0.570255893413459,2624,"tags=22%, list=21%, signal=18%","163786/79867/79989/89891/11116/57560/51259/150737/23322/27077/79959/26005/10300/54903/90410/84314/255758/55125/79598/8481/9851" +"WP231","TNF alpha Signaling Pathway",88,-0.327383221507801,-0.931874255474766,0.588679245283019,0.755984072301015,0.570255893413459,1891,"tags=18%, list=15%, signal=15%","4792/8737/7128/4790/8837/6500/3725/7185/7133/4215/6401/330/1326/6347/9020/3569" +"WP1433","Nucleotide-binding Oligomerization Domain (NOD) pathway",32,-0.375012362210511,-0.921374057811769,0.591251885369532,0.755984072301015,0.570255893413459,2399,"tags=22%, list=20%, signal=18%","5970/842/22900/4792/9744/22861/114548" +"WP106","Alanine and aspartate metabolism",7,0.469043983936996,0.904103867559653,0.591647331786543,0.755984072301015,0.570255893413459,621,"tags=14%, list=5%, signal=14%","2571" +"WP288","NLR Proteins",8,0.456836936854127,0.90701940047428,0.592233009708738,0.755984072301015,0.570255893413459,654,"tags=12%, list=5%, signal=12%","2048" +"WP4537","Hippo-Yap signaling pathway",23,-0.39246252720153,-0.911247991183471,0.597560975609756,0.759400894071044,0.572833279396171,1771,"tags=22%, list=14%, signal=19%","11186/7005/7003/23043/26524" +"WP4533","Transcription co-factors SKI and SKIL protein partners",18,-0.421159708669777,-0.914272043289141,0.5984,0.759400894071044,0.572833279396171,1983,"tags=28%, list=16%, signal=23%","6497/7005/4204/7003/26524" +"WP3656","Interleukin-1 Induced Activation of NF-kappa-B",10,0.431076979671557,0.902588762826886,0.599022004889976,0.759400894071044,0.572833279396171,3510,"tags=70%, list=29%, signal=50%","5590/84962/7335/3552/3654/92610/7334" +"WP4586","Metabolism of alpha-linolenic acid",6,0.478060227106553,0.894589212954575,0.603982300884956,0.76394108376773,0.576258047227415,2459,"tags=50%, list=20%, signal=40%","246/3992/9415" +"WP699","Aflatoxin B1 metabolism",3,-0.597592161121822,-0.920188318988681,0.619230769230769,0.779215861294816,0.587780157579407,2384,"tags=67%, list=19%, signal=54%","2944/2052" +"WP3924","Hfe effect on hepcidin production",4,-0.563536647726731,-0.912898196566318,0.619744058500914,0.779215861294816,0.587780157579407,1088,"tags=75%, list=9%, signal=68%","3397/654/4092" +"WP237","Glucocorticoid and Mineralcorticoid Metabolism",2,-0.6428745272125,-0.92465908899689,0.620278330019881,0.779215861294816,0.587780157579407,1591,"tags=100%, list=13%, signal=87%","3290" +"WP2032","Human Thyroid Stimulating Hormone (TSH) signaling pathway",62,-0.331787423125432,-0.899655840084374,0.623497997329773,0.781488440092069,0.589494415193903,1720,"tags=23%, list=14%, signal=20%","23236/1432/2770/3725/5908/3717/5906/108/54331/4609/5144/2775/1958/2353" +"WP3646","Hepatitis C and Hepatocellular Carcinoma",44,-0.344975408820757,-0.897234872231366,0.629009762900976,0.786617175275713,0.593363136204556,2231,"tags=30%, list=18%, signal=24%","842/3716/960/4790/1432/1026/5743/3725/2487/4609/3570/330/3569" +"WP391","Mitochondrial Gene Expression",16,-0.419460147003083,-0.88939339948617,0.634304207119741,0.791451645820578,0.597009886739064,1861,"tags=19%, list=15%, signal=16%","50804/133522/10891" +"WP4297","Thiamine metabolic pathways",8,-0.468836872681198,-0.870779602259688,0.638983050847458,0.79549800038088,0.600062143551604,1981,"tags=38%, list=16%, signal=31%","10560/4967/27010" +"WP244","Alpha 6 Beta 4 signaling pathway",33,-0.361285764977268,-0.891926316739816,0.645112781954887,0.800617253710871,0.603923712185475,2636,"tags=24%, list=21%, signal=19%","387/3915/5578/8660/1432/2549/3913/3908" +"WP501","GPCRs, Class C Metabotropic glutamate, pheromone",5,-0.512767588583115,-0.865341145304311,0.645985401459854,0.800617253710871,0.603923712185475,4051,"tags=80%, list=33%, signal=54%","9052/2550/693199/51704" +"WP3633","Caffeine and Theobromine metabolism",1,0.674957188289978,0.900912100245784,0.661764705882353,0.817689026461817,0.61680133670025,3987,"tags=100%, list=33%, signal=67%","7498" +"WP4742","Ketogenesis and Ketolysis",8,-0.457744698085562,-0.850177896324434,0.66271186440678,0.817689026461817,0.61680133670025,3007,"tags=38%, list=25%, signal=28%","788/5019/38" +"WP2889","Oxytocin signaling",2,-0.622166041428804,-0.894873666198628,0.667992047713718,0.821435487172678,0.619627376795655,4636,"tags=100%, list=38%, signal=62%","2776" +"WP4228","Vitamin B6-dependent and responsive disorders",4,-0.531143599047165,-0.860423249568372,0.669104204753199,0.821435487172678,0.619627376795655,1856,"tags=50%, list=15%, signal=42%","10157/501" +"WP4389","Bile Acids synthesis and enterohepatic circulation ",5,-0.499086511662036,-0.842253104961129,0.671532846715328,0.821435487172678,0.619627376795655,4590,"tags=80%, list=37%, signal=50%","2264/5594/5595/3949" +"WP4584","Biomarkers for pyrimidine metabolism disorders",12,0.388444767238018,0.852851352575445,0.671679197994987,0.821435487172678,0.619627376795655,1862,"tags=42%, list=15%, signal=35%","6241/7298/80324/1890/7372" +"WP3930","EDA Signalling in Hair Follicle Development",9,-0.445264201303959,-0.84836309933393,0.673949579831933,0.822396623847777,0.620352383939896,1663,"tags=56%, list=14%, signal=48%","4050/5727/1896/2735/22943" +"WP2815","Mammary gland development pathway - Involution (Stage 4 of 4)",10,-0.436647435816791,-0.845277740368078,0.676222596964587,0.823356744436002,0.621076624626815,1060,"tags=30%, list=9%, signal=27%","4609/9021/3572" +"WP4539","Synaptic signaling pathways associated with autism spectrum disorder",39,-0.337278515533572,-0.86131472773095,0.681365576102418,0.827799406054254,0.624427824821468,3203,"tags=41%, list=26%, signal=30%","5293/7337/5595/8503/1742/7249/8831/5728/57521/85358/5563/775/10000/4915/51422/627" +"WP3858","Toll-like Receptor Signaling related to MyD88",27,-0.354626754015956,-0.846185352900645,0.686064318529862,0.831481071191189,0.627204988149158,3725,"tags=56%, list=30%, signal=39%","7187/5594/51284/114609/3551/7189/148022/7096/4791/5970/54472/7100/4790/7098/7099" +"WP3877","Simplified Depiction of MYD88 Distinct Input-Output Pathway",14,-0.401734107105304,-0.827977838830255,0.687397708674304,0.831481071191189,0.627204988149158,1871,"tags=43%, list=15%, signal=36%","7189/7096/7100/4790/7099/3725" +"WP3926","ApoE and miR-146 in inflammation and atherosclerosis",8,-0.439829238010611,-0.816903173052031,0.698305084745763,0.842137953579601,0.635243715696564,3220,"tags=50%, list=26%, signal=37%","7189/4791/5970/7099" +"WP534","Glycolysis and Gluconeogenesis",33,-0.349405814527868,-0.862597620526027,0.699248120300752,0.842137953579601,0.635243715696564,787,"tags=6%, list=6%, signal=6%","6515/6517" +"WP4220","Neurotransmitter Disorders",1,-0.64918861616244,-0.870112063601179,0.701520912547528,0.842280412128963,0.635351175404139,4304,"tags=100%, list=35%, signal=65%","" +"WP1495","Glycine Metabolism",3,0.564656300416955,0.870111828885615,0.703319502074689,0.842280412128963,0.635351175404139,161,"tags=33%, list=1%, signal=33%","6472" +"WP581","EPO Receptor Signaling",25,-0.355405310621097,-0.838278617428573,0.70392749244713,0.842280412128963,0.635351175404139,2221,"tags=28%, list=18%, signal=23%","6774/5595/5788/6776/8660/3717/6777" +"WP4661","Amino Acid Metabolism Pathway Excerpt (Histidine catabolism extension)",2,0.594586749437303,0.854936113915871,0.707414829659319,0.844628912998411,0.637122702755784,955,"tags=50%, list=8%, signal=46%","84706" +"WP4566","Translation inhibitors in chronically activated PDGFRA cells",45,-0.326772283210191,-0.850829012276327,0.712100139082058,0.848394574304216,0.639963226294459,3254,"tags=38%, list=27%, signal=28%","1977/5601/5606/5595/6194/8503/1974/5292/57521/5578/1432/5602/27250/1975/9252/10000/6196" +"WP3869","Cannabinoid receptor signaling",23,-0.35610173244223,-0.82682285786308,0.714939024390244,0.84905430664671,0.640460877329933,3336,"tags=35%, list=27%, signal=25%","135/5601/5567/5595/5573/1432/5602/5577" +"WP314","Fas Ligand (FasL) pathway and Stress induction of Heat Shock Proteins (HSP) regulation",40,0.288222726046106,0.84704404045395,0.71571906354515,0.84905430664671,0.640460877329933,2274,"tags=28%, list=19%, signal=22%","4001/84823/1676/5591/1677/317/839/8772/5062/8767/836" +"WP422","MAPK Cascade",33,-0.34457466152478,-0.850670683676129,0.717293233082707,0.849103528050897,0.640498006148976,1744,"tags=36%, list=14%, signal=31%","5606/5595/6655/4155/7786/8649/1432/3725/5602/22821/4215/6237" +"WP2828","Bladder Cancer",38,0.295652153465674,0.853433064626222,0.721854304635762,0.851150436959116,0.642042035859337,1317,"tags=16%, list=11%, signal=14%","1869/1019/4312/4893/1890/4318" +"WP1604","Codeine and Morphine Metabolism",4,-0.502592805112083,-0.81417254271725,0.722120658135283,0.851150436959116,0.642042035859337,679,"tags=25%, list=6%, signal=24%","5243" +"WP3303","RAC1/PAK1/p38/MMP2 Pathway",62,-0.30955130342258,-0.839361647004237,0.723631508678238,0.851150436959116,0.642042035859337,2399,"tags=26%, list=20%, signal=21%","5970/3688/842/9046/4792/6776/4790/1432/2308/284/7010/4609/6777/10413/7075/9068" +"WP524","G13 Signaling Pathway",35,0.300015740922837,0.851575333280643,0.728971962616822,0.854866761462783,0.644845343531683,602,"tags=11%, list=5%, signal=11%","11113/3984/6242/1072" +"WP61","Notch Signaling Pathway Netpath",57,-0.316513634190585,-0.847327214322279,0.72987721691678,0.854866761462783,0.644845343531683,2251,"tags=40%, list=18%, signal=33%","5295/83464/55534/8650/9611/6774/4853/9612/84441/55294/7088/28514/4855/23493/4790/3516/1026/6015/4137/6500/3717/4609/2273" +"WP4655","Cytosolic DNA-sensing pathway",55,-0.316213084825049,-0.841551911854024,0.738950276243094,0.86366762244446,0.65148403213082,2466,"tags=18%, list=20%, signal=15%","6351/5970/84265/4792/1540/8737/4790/54941/90865/3569" +"WP2507","Nanomaterial induced apoptosis",19,0.331158454597987,0.803847319908567,0.743169398907104,0.865393198250469,0.652785673010519,2274,"tags=37%, list=19%, signal=30%","637/317/839/581/56616/8772/836" +"WP3676","BDNF-TrkB Signaling",30,-0.340250979753723,-0.82684711898177,0.743550834597876,0.865393198250469,0.652785673010519,1751,"tags=23%, list=14%, signal=20%","1742/7249/29904/9846/2549/4915/627" +"WP4506","Tyrosine Metabolism",1,0.627252711408301,0.837237631399127,0.745798319327731,0.866189242992795,0.653386147573892,4572,"tags=100%, list=37%, signal=63%","2184" +"WP4658","Small cell lung cancer",89,-0.299534904328356,-0.852629876475416,0.74968394437421,0.867432150313152,0.654323700692232,2399,"tags=31%, list=20%, signal=25%","5970/3915/7188/3688/842/5728/1647/4792/2272/51426/4790/3910/10912/1026/5743/6500/7185/4609/1288/10000/3913/4616/1028/330/1286/596/10319/3908" +"WP585","Interferon type I signaling pathways",52,-0.31254966486388,-0.824157827280662,0.75,0.867432150313152,0.654323700692232,3524,"tags=46%, list=29%, signal=33%","5295/7535/1398/6774/1977/5293/5606/8554/6194/2889/7409/5788/3716/57521/6776/8660/1432/9846/5906/27250/1975/9252/2534/9021" +"WP2059","Alzheimers Disease",69,-0.304595659022824,-0.84223421026692,0.754293262879789,0.869806763285024,0.656114924993644,1536,"tags=19%, list=13%, signal=17%","23236/4035/355/4137/6622/775/489/5332/5532/322/6263/5533/3708" +"WP1772","Apoptosis Modulation and Signaling",79,-0.299443406685835,-0.842333733770823,0.755874673629243,0.869806763285024,0.656114924993644,2231,"tags=25%, list=18%, signal=21%","842/54472/8738/4792/8737/4790/666/8837/355/5587/8793/3725/4170/9531/599/7133/330/596/9020/2353" +"WP4558","Overview of interferons-mediated signaling pathway",14,0.349355720319286,0.792137180046499,0.757033248081841,0.869806763285024,0.656114924993644,2081,"tags=29%, list=17%, signal=24%","7297/6773/10379/6772" +"WP4205","MET in type 1 papillary renal cell carcinoma",52,-0.310138843898992,-0.817800767293892,0.758333333333333,0.869806763285024,0.656114924993644,1465,"tags=33%, list=12%, signal=29%","5295/1398/6774/5293/2113/5595/8503/6655/2889/7030/1026/3725/5908/2549/5906/10000/3082" +"WP4301","Inhibition of exosome biogenesis and secretion by Manumycin A in CRPC cells",18,-0.36314123798396,-0.788322992013622,0.76,0.869917355371901,0.656198347107438,3131,"tags=33%, list=26%, signal=25%","5595/5869/22800/22808/6237/5873" +"WP3593","MicroRNA for Targeting Cancer Growth and Vascularization in Glioblastoma",7,-0.43315921984253,-0.771129800334142,0.763572679509632,0.870904389971442,0.656942889642148,2463,"tags=43%, list=20%, signal=34%","7423/55662/7424" +"WP26","Signal Transduction of S1P Receptor",24,-0.339032448465089,-0.796187348360122,0.765060240963855,0.870904389971442,0.656942889642148,1720,"tags=25%, list=14%, signal=22%","23236/1903/2770/9294/10000/1901" +"WP2878","PPAR Alpha Pathway",16,0.338857283807798,0.792631802422734,0.768229166666667,0.870904389971442,0.656942889642148,487,"tags=12%, list=4%, signal=12%","983/1019" +"WP22","IL-9 Signaling Pathway",15,-0.37261138822411,-0.778775817543178,0.768472906403941,0.870904389971442,0.656942889642148,3595,"tags=47%, list=29%, signal=33%","3561/5295/6774/5595/3716/6776/6777" +"WP691","Tamoxifen metabolism",5,0.408856097920705,0.726793716580559,0.768722466960352,0.870904389971442,0.656942889642148,937,"tags=20%, list=8%, signal=18%","54575" +"WP2586","Aryl Hydrocarbon Receptor Netpath",40,-0.319424385397628,-0.816032006161509,0.772403982930299,0.871836837466952,0.657646255888999,3002,"tags=40%, list=24%, signal=30%","57491/9612/405/4023/1545/5970/948/4790/4780/5325/1026/5743/135112/4609/2099/1316" +"WP1471","Target Of Rapamycin (TOR) Signaling",34,-0.322633578752431,-0.802786397434725,0.772795216741405,0.871836837466952,0.657646255888999,2564,"tags=21%, list=21%, signal=16%","7249/57521/5578/58528/10670/5563/51422" +"WP4141","PI3K/AKT/mTOR - VitD3 Signalling",19,0.325936654269272,0.791172027639702,0.775956284153005,0.871836837466952,0.657646255888999,700,"tags=11%, list=6%, signal=10%","5210/2932" +"WP3872","Regulation of Apoptosis by Parathyroid Hormone-related Protein",20,-0.353255099266149,-0.788484357680968,0.776729559748428,0.871836837466952,0.657646255888999,1679,"tags=25%, list=14%, signal=22%","666/4170/599/4609/596" +"WP3644","NAD+ metabolism",14,-0.369666930244778,-0.761887080478472,0.777414075286416,0.871836837466952,0.657646255888999,2913,"tags=50%, list=24%, signal=38%","64802/10135/349565/23410/203447/4907/23411" +"WP3300","Dual hijack model of Vif in HIV infection",6,0.393335491018856,0.736044680954459,0.780973451327434,0.874059175829087,0.659322616006361,3874,"tags=50%, list=32%, signal=34%","865/861/60489" +"WP2853","Endoderm Differentiation",112,-0.285082935557912,-0.832351189288985,0.784146341463415,0.875840873328088,0.660666590749099,1778,"tags=28%, list=14%, signal=24%","4089/655/6001/58499/1846/1488/2736/79776/55809/23576/3915/5087/83439/23373/657/5090/57690/1844/57198/22943/2308/9760/83595/3087/1112/6925/2908/1847/2627/6422/64321" +"WP2369","Histone Modifications",30,0.293782338080948,0.808049187938813,0.790087463556851,0.880701116318905,0.664332782022811,2259,"tags=30%, list=18%, signal=25%","2146/56950/9869/79723/6839/10322/55209/54093/10919" +"WP4156","Biosynthesis and regeneration of tetrahydrobiopterin (BH4) and catabolism of phenylalanine, including diseases",2,-0.548523894960039,-0.788952717112593,0.799204771371769,0.888176352705411,0.669971521991351,5539,"tags=100%, list=45%, signal=55%","2643" +"WP2533","Glycerophospholipid Biosynthetic Pathway",25,0.300461718808301,0.789449798660725,0.8,0.888176352705411,0.669971521991351,1962,"tags=28%, list=16%, signal=24%","9791/9489/114971/5833/10400/54675/10390" +"WP4236","Disorders of the Krebs cycle",7,-0.408203612495765,-0.726702689865331,0.80385288966725,0.890669001751314,0.671851783574523,2454,"tags=57%, list=20%, signal=46%","8803/8801/1743/8802" +"WP1531","Vitamin D Metabolism",7,0.367983239879823,0.709304631902429,0.807424593967517,0.892840768578852,0.673489996438921,409,"tags=14%, list=3%, signal=14%","1717" +"WP2011","SREBF and miR33 in cholesterol and lipid homeostasis",16,-0.354703273062449,-0.7520875394047,0.812297734627832,0.896440129449838,0.676205075796287,1534,"tags=25%, list=13%, signal=22%","3949/5465/23411/10891" +"WP4656","Joubert Syndrome",69,0.264259729226251,0.856645256448958,0.816326530612245,0.899095224570942,0.678207874130085,2083,"tags=19%, list=17%, signal=16%","117177/261734/9094/79867/95681/51259/23322/27077/51524/79848/284086/54903/2475" +"WP1434","Osteopontin Signaling",13,0.324668896796456,0.730171807204141,0.820448877805486,0.901842615683015,0.680280293418501,1846,"tags=31%, list=15%, signal=26%","6696/5328/4318/5604" +"WP107","Translation Factors",47,-0.298875767979579,-0.777412296533625,0.823776223776224,0.903706986083224,0.681686630201482,2455,"tags=30%, list=20%, signal=24%","8666/9086/8661/1938/29904/2107/8665/10209/1975/1936/8637/1933/1979/1915" +"WP4549","Fragile X Syndrome ",93,-0.285343976212467,-0.818070336810576,0.826899128268991,0.905135970429732,0.68276454543151,2758,"tags=26%, list=22%, signal=20%","5530/1374/64798/1742/7249/1212/5573/8831/5728/57521/5578/8536/23236/1845/2549/26999/4204/2534/4915/1979/4131/1915/627/3708" +"WP4726","Sphingolipid Metabolism (integrated pathway)",21,-0.333054891894799,-0.750247495877166,0.828346456692913,0.905135970429732,0.68276454543151,2115,"tags=33%, list=17%, signal=28%","259230/2531/7357/64781/79603/166929/6609" +"WP497","Urea cycle and metabolism of amino groups",16,0.313718055016933,0.733827836327903,0.830729166666667,0.905952673884514,0.683380603329189,691,"tags=19%, list=6%, signal=18%","5831/162417/5832" +"WP4725","Sphingolipid Metabolism (general overview)",20,-0.33379024713508,-0.745037762113618,0.833333333333333,0.907007203667322,0.684176059008031,2115,"tags=35%, list=17%, signal=29%","259230/2531/7357/64781/79603/166929/6609" +"WP3","Phytochemical activity on NRF2 transcriptional activation",14,0.319043257214972,0.723406005352206,0.838874680306905,0.911248182137305,0.68737512503992,2452,"tags=29%, list=20%, signal=23%","2048/7965/2730/1728" +"WP3865","Novel intracellular components of RIG-I-like receptor (RLR) pathway",51,-0.293883067794566,-0.771758078218806,0.841004184100418,0.91177361642198,0.68777147201126,2893,"tags=29%, list=24%, signal=23%","79671/9755/10010/5970/10521/4792/1540/8737/4790/1432/1654/5602/8653/54941/6387" +"WP400","p38 MAPK Signaling Pathway",33,-0.304011953252267,-0.750531263600248,0.84812030075188,0.917692669172932,0.692236347447566,2732,"tags=24%, list=22%, signal=19%","5321/7042/9261/8737/1432/9252/4609/4209" +"WP4018","Pathways in clear cell renal cell carcinoma",79,0.25229560335728,0.842203228281442,0.851694915254237,0.919764099514322,0.69379887422988,2109,"tags=18%, list=17%, signal=15%","47/6472/2194/2023/7428/7167/5723/29968/8242/5230/5232/2597/2475/2821" +"WP4255","Non-small cell lung cancer",67,-0.281011494924726,-0.774223659536101,0.855453350854139,0.92156868740922,0.695160115716246,3262,"tags=34%, list=27%, signal=25%","6774/5293/2309/5595/8503/5915/6655/83593/6257/842/5578/1647/2272/6776/51426/11186/10912/1026/5336/10000/6777/4616/5579" +"WP2509","Nanoparticle triggered autophagic cell death",21,-0.320385420804169,-0.721707939212027,0.856692913385827,0.92156868740922,0.695160115716246,1266,"tags=43%, list=10%, signal=38%","55626/115201/7248/3643/55054/51100/7249/84557/596" +"WP3645","NAD+ biosynthetic pathways",17,-0.333743557394139,-0.715443240299662,0.863123993558776,0.92668738843326,0.69902126773324,1101,"tags=18%, list=9%, signal=16%","23410/683/23411" +"WP3844","PI3K-AKT-mTOR signaling pathway and therapeutic opportunities",30,-0.303552256470985,-0.737665204976397,0.8649468892261,0.926848310698761,0.699142655039727,2564,"tags=33%, list=21%, signal=26%","2309/8503/7249/2887/4303/5728/57521/4846/2308/7942" +"WP3871","Valproic acid pathway",8,-0.354117393758488,-0.657708941548915,0.874576271186441,0.935357633662719,0.705561429914686,4053,"tags=62%, list=33%, signal=42%","3712/18/3032/3030/36" +"WP3614","Photodynamic therapy-induced HIF-1 survival signaling",33,0.266889824586803,0.752958011527713,0.878338278931751,0.937571110844297,0.707231105843028,1694,"tags=15%, list=14%, signal=13%","332/637/581/3486/5230" +"WP4263","Pancreatic adenocarcinoma pathway",85,0.248569587245435,0.826221845050004,0.884057971014493,0.941861761426979,0.71046764067359,487,"tags=7%, list=4%, signal=7%","5888/5881/675/1869/1870/1019" +"WP4299","Lamin A-processing pathway",3,0.417859057608152,0.643903394973845,0.892116182572614,0.947497157489418,0.714718547450692,939,"tags=33%, list=8%, signal=31%","23463" +"WP4159","GABA receptor Signaling",13,0.29198885062978,0.656675243152314,0.892768079800499,0.947497157489418,0.714718547450692,1844,"tags=15%, list=15%, signal=13%","2571/1175" +"WP2249","Metastatic brain tumor",6,-0.363405157407161,-0.627512345181194,0.901818181818182,0.955272031983313,0.72058331122435,1060,"tags=50%, list=9%, signal=46%","1021/5295/4609" +"WP1422","Sphingolipid pathway",24,-0.290934958053864,-0.683234698763713,0.903614457831325,0.955348109997241,0.720640698591877,2615,"tags=33%, list=21%, signal=26%","259230/57704/2531/7357/64781/79603/166929/57515" +"WP694","Arylamine metabolism",2,-0.419262763007666,-0.603033886214071,0.914512922465209,0.965028874372811,0.727943118232958,7124,"tags=100%, list=58%, signal=42%","6817" +"WP3655","Hypothetical Craniofacial Development Pathway",6,-0.335571088516203,-0.579449676037149,0.92,0.968973384030418,0.730918551130678,2636,"tags=50%, list=21%, signal=39%","9411/387/7043" +"WP4271","Vitamin B12 Disorders",9,0.292736997164498,0.597017650972464,0.923832923832924,0.971164022397419,0.73257099922435,1425,"tags=22%, list=12%, signal=20%","81693/25974" +"WP138","Androgen receptor signaling pathway",82,-0.262246132215985,-0.741717122527783,0.926829268292683,0.972468588322247,0.733555062823356,2761,"tags=38%, list=23%, signal=29%","1387/9611/6774/7337/8554/7329/9612/9604/4089/2274/387/8648/573/9475/5970/6093/5728/8031/367/10273/10524/1026/3725/2308/8850/11034/7041/23411/2316/388/857" +"WP1941","Peroxisomal beta-oxidation of tetracosanoyl-CoA",4,0.321451876019576,0.538593666326844,0.940789473684211,0.985250223858323,0.743196539752525,8323,"tags=100%, list=68%, signal=32%","51/30/6342/3295" +"WP4523","Classical pathway of steroidogenesis, including diseases",5,-0.324685068678876,-0.547935079067982,0.950729927007299,0.991532536782858,0.747935430558226,3207,"tags=60%, list=26%, signal=44%","1528/9563/3290" +"WP4313","Ferroptosis",36,0.246439549625049,0.702335430330283,0.950819672131147,0.991532536782858,0.747935430558226,2414,"tags=22%, list=20%, signal=18%","7037/55240/246/4891/2730/6520/2937/10162" +"WP4674","Head and Neck Squamous Cell Carcinoma",66,-0.247363217128008,-0.678434843447439,0.953703703703704,0.991532536782858,0.747935430558226,3879,"tags=36%, list=32%, signal=25%","7248/4851/79109/1021/5925/5295/8650/1977/2113/4853/5595/6194/23533/4089/7249/5728/5170/57521/2114/1026/2549/5563/10000/7048" +"WP3674","Tgif disruption of Shh signaling",4,0.31068515497553,0.520553990113917,0.953947368421053,0.991532536782858,0.747935430558226,8455,"tags=100%, list=69%, signal=31%","60436/7050/2737/4087" +"WP521","Amino acid conjugation of benzoic acid",1,-0.520101117181766,-0.69709518171691,0.960076045627376,0.995450166514524,0.750890587319525,5887,"tags=100%, list=48%, signal=52%","" +"WP430","Statin Pathway",15,0.247713150522266,0.570326435355992,0.964376590330789,0.995450166514524,0.750890587319525,802,"tags=13%, list=7%, signal=12%","341/6713" +"WP4582","Cancer immunotherapy by CTLA4 blockade",12,-0.26858911980456,-0.537859825787435,0.965174129353234,0.995450166514524,0.750890587319525,3937,"tags=58%, list=32%, signal=40%","5781/5515/5295/5293/8503/3123/940" +"WP3891","Benzene metabolism",3,-0.325329253578636,-0.500950645681814,0.967307692307692,0.995450166514524,0.750890587319525,2384,"tags=67%, list=19%, signal=54%","2944/2052" +"WP696","Benzo(a)pyrene metabolism",7,0.274612598012953,0.529328422166618,0.967517401392111,0.995450166514524,0.750890587319525,3553,"tags=43%, list=29%, signal=30%","10327/1646/8644" +"WP2942","DDX1 as a regulatory component of the Drosha microprocessor",6,0.281477462071131,0.526725895569096,0.971238938053097,0.995450166514524,0.750890587319525,2590,"tags=33%, list=21%, signal=26%","29102/4683" +"WP2513","Nanoparticle triggered regulated necrosis",11,-0.256860765250472,-0.507331666086788,0.971900826446281,0.995450166514524,0.750890587319525,2885,"tags=36%, list=24%, signal=28%","7132/148022/5321/8737" +"WP4723","Omega-3/Omega-6 FA synthesis",11,-0.254117966060651,-0.501914299672901,0.973553719008264,0.995450166514524,0.750890587319525,2732,"tags=27%, list=22%, signal=21%","5321/10965/2182" +"WP3937","Microglia Pathogen Phagocytosis Pathway",36,0.219943316967631,0.626823025791755,0.977049180327869,0.995450166514524,0.750890587319525,2501,"tags=22%, list=20%, signal=18%","5881/54209/1535/5777/7410/10451/5296/10095" +"WP4532","Intraflagellar transport proteins binding to dynein",25,0.220962266218544,0.580568523902844,0.979411764705882,0.995450166514524,0.750890587319525,1053,"tags=8%, list=9%, signal=7%","89891/57560" +"WP692","Sulfation Biotransformation Reaction",6,-0.284059389786262,-0.490501497357131,0.98,0.995450166514524,0.750890587319525,8783,"tags=100%, list=72%, signal=28%","9061/6799/2936/6817/9060" +"WP80","Nucleotide GPCRs",8,0.236572618706787,0.469699224116321,0.983009708737864,0.995450166514524,0.750890587319525,2570,"tags=38%, list=21%, signal=30%","1241/5031/5029" +"WP4522","Metabolic pathway of LDL, HDL and TG, including diseases",9,-0.241517883499338,-0.460164683327411,0.984873949579832,0.995450166514524,0.750890587319525,3282,"tags=44%, list=27%, signal=33%","19/3931/4023/3949" +"WP4751","HIPK2 in kidney fibrosis",2,0.337302234545751,0.484995439085364,0.985971943887776,0.995450166514524,0.750890587319525,8128,"tags=100%, list=66%, signal=34%","6477/28996" +"WP697","Estrogen metabolism",9,0.217625458996328,0.44383266064857,0.987714987714988,0.995450166514524,0.750890587319525,9597,"tags=100%, list=78%, signal=22%","1728/54578/1312/2944/414/412/6817/1543/1545" +"WP325","Triacylglyceride Synthesis",14,-0.233795918367347,-0.481855624885714,0.988543371522095,0.995450166514524,0.750890587319525,9401,"tags=100%, list=77%, signal=23%","84649/55326/8694/8540/57678/56894/8443/2710/10554/57104/4023/3991/56895" +"WP4577","Neurodegeneration with brain iron accumulation (NBIA) subtypes pathway",43,0.211381552734483,0.629128198155817,0.989690721649485,0.995450166514524,0.750890587319525,2083,"tags=12%, list=17%, signal=10%","80347/23400/54676/26100/2475" +"WP4397","Model for regulation of MSMP expression in cancer cells and its proangiogenic role in ovarian tumors",2,-0.315835186745099,-0.454271967058904,0.990059642147117,0.995450166514524,0.750890587319525,3197,"tags=100%, list=26%, signal=74%","692094" +"WP3845","Canonical and Non-canonical Notch signaling",22,0.200290610067453,0.513723357000406,0.994397759103641,0.997218358831711,0.752224374798003,1965,"tags=18%, list=16%, signal=15%","4237/102/4854/3280" +"WP623","Oxidative phosphorylation",37,-0.178982454914135,-0.455748830779194,0.997155049786629,0.997218358831711,0.752224374798003,4041,"tags=27%, list=33%, signal=18%","126328/4700/4716/4719/4697/4705/4717/4698/4714/4724" +"WP4324","Mitochondrial complex I assembly model OXPHOS system",45,-0.188459502891383,-0.49069893910195,0.997218358831711,0.997218358831711,0.752224374798003,4160,"tags=29%, list=34%, signal=19%","51103/55863/4700/4716/4719/4705/54968/4717/91942/29078/4698/4714/4724" diff --git a/statistics-enrichment-analysis/association_results/bladder_cancer_WikiPathways_gsea_sample_perm.csv b/statistics-enrichment-analysis/association_results/bladder_cancer_WikiPathways_gsea_sample_perm.csv new file mode 100644 index 0000000..6e5571c --- /dev/null +++ b/statistics-enrichment-analysis/association_results/bladder_cancer_WikiPathways_gsea_sample_perm.csv @@ -0,0 +1,503 @@ +"set_id","name","GENE.SET","ES","NES","PVAL" +"WP289","Myometrial Relaxation and Contraction Pathways","WP289",-0.593,-1.73,0 +"WP3414","Initiation of transcription and translation elongation at the HIV-1 LTR","WP3414",-0.584,-1.75,0 +"WP706","Sudden Infant Death Syndrome (SIDS) Susceptibility Pathways","WP706",-0.521,-1.74,0 +"WP98","Prostaglandin Synthesis and Regulation","WP98",-0.667,-1.65,0 +"WP3981","miRNA regulation of prostate cancer signaling pathways","WP3981",-0.528,-1.76,0.00191 +"WP536","Calcium Regulation in the Cardiac Cell","WP536",-0.561,-1.7,0.00192 +"WP4321","Thermogenesis","WP4321",-0.404,-1.61,0.00197 +"WP4589","Major receptors targeted by epinephrine and norepinephrine","WP4589",-0.807,-1.62,0.00198 +"WP2858","Ectoderm Differentiation","WP2858",-0.476,-1.6,0.00374 +"WP2516","ATM Signaling Pathway","WP2516",0.653,1.8,0.00383 +"WP35","G Protein Signaling Pathways","WP35",-0.563,-1.6,0.00387 +"WP4016","DNA IR-damage and cellular response via ATR","WP4016",0.71,1.74,0.00588 +"WP170","Nuclear Receptors","WP170",-0.669,-1.6,0.00592 +"WP4481","Resistin as a regulator of inflammation","WP4481",-0.572,-1.56,0.00758 +"WP707","DNA Damage Response","WP707",0.53,1.64,0.00772 +"WP1530","miRNA Regulation of DNA Damage Response","WP1530",0.526,1.64,0.00781 +"WP531","DNA Mismatch Repair","WP531",0.775,1.6,0.00783 +"WP383","Striated Muscle Contraction Pathway","WP383",-0.737,-1.57,0.00803 +"WP304","Kit receptor signaling pathway","WP304",-0.479,-1.56,0.00949 +"WP1971","Integrated Cancer Pathway","WP1971",0.553,1.61,0.0116 +"WP2355","Corticotropin-releasing hormone signaling pathway","WP2355",-0.492,-1.56,0.0116 +"WP4746","Thyroid hormones production and their peripheral downstream signalling effects regarding congenital hypothyroidism","WP4746",-0.393,-1.47,0.0133 +"WP3888","VEGFA-VEGFR2 Signaling Pathway","WP3888",-0.366,-1.58,0.0134 +"WP554","ACE Inhibitor Pathway","WP554",-0.805,-1.55,0.0134 +"WP4149","White fat cell differentiation","WP4149",-0.615,-1.56,0.0135 +"WP2276","Glial Cell Differentiation","WP2276",-0.861,-1.48,0.0143 +"WP4240","Regulation of sister chromatid separation at the metaphase-anaphase transition","WP4240",0.826,1.58,0.0157 +"WP2361","Gastric Cancer Network 1","WP2361",0.801,1.59,0.0158 +"WP4223","Ras Signaling","WP4223",-0.428,-1.52,0.017 +"WP247","Small Ligand GPCRs","WP247",-0.801,-1.44,0.0174 +"WP382","MAPK Signaling Pathway","WP382",-0.414,-1.48,0.0174 +"WP1591","Heart Development","WP1591",-0.614,-1.53,0.0192 +"WP206","Fatty Acid Omega Oxidation","WP206",-0.862,-1.47,0.0195 +"WP466","DNA Replication","WP466",0.807,1.58,0.0196 +"WP2197","Endothelin Pathways","WP2197",-0.633,-1.52,0.0206 +"WP1528","Physiological and Pathological Hypertrophy of the Heart","WP1528",-0.648,-1.51,0.0209 +"WP428","Wnt Signaling","WP428",-0.453,-1.45,0.0209 +"WP4535","Envelope proteins and their potential roles in EDMD physiopathology","WP4535",-0.459,-1.59,0.0209 +"WP3995","Prion disease pathway","WP3995",-0.538,-1.6,0.0213 +"WP2338","miRNA Biogenesis","WP2338",0.739,1.62,0.0214 +"WP3584","MECP2 and Associated Rett Syndrome","WP3584",-0.416,-1.5,0.0218 +"WP236","Adipogenesis","WP236",-0.503,-1.5,0.0249 +"WP179","Cell Cycle","WP179",0.57,1.73,0.0251 +"WP4008","NO/cGMP/PKG mediated Neuroprotection","WP4008",-0.544,-1.56,0.0252 +"WP3959","DNA IR-Double Strand Breaks (DSBs) and cellular response via ATM","WP3959",0.602,1.66,0.0257 +"WP186","Homologous recombination","WP186",0.717,1.55,0.0282 +"WP465","Tryptophan metabolism","WP465",-0.554,-1.57,0.0283 +"WP1992","Genes targeted by miRNAs in adipocytes","WP1992",-0.742,-1.45,0.0291 +"WP3634","Insulin signalling in human adipocytes (normal condition)","WP3634",-0.635,-1.56,0.0292 +"WP3635","Insulin signalling in human adipocytes (diabetic condition)","WP3635",-0.635,-1.56,0.0292 +"WP1544","MicroRNAs in cardiomyocyte hypertrophy","WP1544",-0.451,-1.47,0.033 +"WP2446","Retinoblastoma Gene in Cancer","WP2446",0.705,1.65,0.0338 +"WP3853","ERK Pathway in Huntington's Disease","WP3853",-0.564,-1.54,0.035 +"WP410","Exercise-induced Circadian Regulation","WP410",-0.471,-1.48,0.035 +"WP4719","Eicosanoid metabolism via Cyclo Oxygenases (COX)","WP4719",-0.625,-1.47,0.0378 +"WP4320","The effect of progerin on the involved genes in Hutchinson-Gilford Progeria Syndrome","WP4320",0.574,1.64,0.0383 +"WP2035","Follicle Stimulating Hormone (FSH) signaling pathway","WP2035",-0.448,-1.5,0.0384 +"WP167","Eicosanoid Synthesis","WP167",-0.672,-1.5,0.0402 +"WP4304","Oligodendrocyte Specification and differentiation(including remyelination), leading to Myelin Components for CNS","WP4304",-0.716,-1.46,0.0406 +"WP3875","ATR Signaling","WP3875",0.771,1.48,0.0413 +"WP4760","PKC-gamma calcium signaling pathway in ataxia","WP4760",-0.583,-1.39,0.0413 +"WP4222","Phosphodiesterases in neuronal function","WP4222",-0.643,-1.49,0.0418 +"WP2118","Arrhythmogenic Right Ventricular Cardiomyopathy","WP2118",-0.505,-1.46,0.042 +"WP45","G1 to S cell cycle control","WP45",0.596,1.65,0.0421 +"WP2034","Leptin signaling pathway","WP2034",-0.384,-1.48,0.0427 +"WP3996","Ethanol effects on histone modifications","WP3996",-0.456,-1.49,0.0427 +"WP1991","SRF and miRs in Smooth Muscle Differentiation and Proliferation","WP1991",-0.786,-1.38,0.043 +"WP2848","Differentiation Pathway","WP2848",-0.632,-1.48,0.043 +"WP2363","Gastric Cancer Network 2","WP2363",0.639,1.54,0.0437 +"WP3893","Development and heterogeneity of the ILC family","WP3893",-0.714,-1.49,0.0437 +"WP4753","Nucleotide Excision Repair","WP4753",0.554,1.62,0.0455 +"WP4752","Base Excision Repair","WP4752",0.679,1.53,0.0466 +"WP2895","Differentiation of white and brown adipocyte ","WP2895",-0.639,-1.46,0.0469 +"WP2406","Cardiac Progenitor Differentiation","WP2406",-0.62,-1.45,0.047 +"WP58","Monoamine GPCRs","WP58",-0.824,-1.38,0.0474 +"WP2029","Cell Differentiation - Index","WP2029",-0.785,-1.35,0.0524 +"WP4519","Cerebral Organic Acidurias, including diseases","WP4519",-0.657,-1.48,0.0542 +"WP4336","ncRNAs involved in Wnt signaling in hepatocellular carcinoma","WP4336",-0.422,-1.43,0.0552 +"WP4172","PI3K-Akt Signaling Pathway","WP4172",-0.398,-1.38,0.0565 +"WP3658","Wnt/beta-catenin Signaling Pathway in Leukemia","WP3658",-0.488,-1.45,0.0566 +"WP4022","Pyrimidine metabolism","WP4022",0.528,1.56,0.057 +"WP4155","Endometrial cancer","WP4155",-0.388,-1.4,0.0595 +"WP2064","Neural Crest Differentiation","WP2064",-0.441,-1.39,0.0596 +"WP2525","Trans-sulfuration and one carbon metabolism","WP2525",0.581,1.52,0.0603 +"WP3879","4-hydroxytamoxifen, Dexamethasone, and Retinoic Acids Regulation of p27 Expression","WP3879",0.45,1.48,0.0611 +"WP2814","Mammary gland development pathway - Puberty (Stage 2 of 4)","WP2814",-0.667,-1.44,0.0655 +"WP404","Nucleotide Metabolism","WP404",0.653,1.54,0.0663 +"WP2795","Cardiac Hypertrophic Response","WP2795",-0.451,-1.44,0.0667 +"WP4545","Oxysterols derived from cholesterol","WP4545",-0.676,-1.41,0.0686 +"WP481","Insulin Signaling","WP481",-0.343,-1.37,0.0687 +"WP4756","Renin Angiotensin Aldosterone System (RAAS)","WP4756",-0.498,-1.39,0.069 +"WP241","One Carbon Metabolism","WP241",0.479,1.45,0.0696 +"WP4595","Urea cycle and associated pathways","WP4595",0.565,1.44,0.07 +"WP306","Focal Adhesion","WP306",-0.449,-1.43,0.0709 +"WP3931","ESC Pluripotency Pathways","WP3931",-0.411,-1.38,0.0725 +"WP3932","Focal Adhesion-PI3K-Akt-mTOR-signaling pathway","WP3932",-0.397,-1.39,0.0725 +"WP4191","Caloric restriction and aging","WP4191",-0.712,-1.43,0.0727 +"WP4540","Pathways Regulating Hippo Signaling","WP4540",-0.449,-1.38,0.0775 +"WP1545","miRNAs involved in DNA damage response","WP1545",0.485,1.4,0.0778 +"WP49","IL-2 Signaling Pathway","WP49",-0.477,-1.42,0.0799 +"WP4225","Pyrimidine metabolism and related diseases","WP4225",0.59,1.41,0.0805 +"WP4290","Metabolic reprogramming in colon cancer","WP4290",0.554,1.57,0.0817 +"WP673","ErbB Signaling Pathway","WP673",-0.361,-1.36,0.0821 +"WP734","Serotonin Receptor 4/6/7 and NR3C Signaling","WP734",-0.53,-1.42,0.0821 +"WP4754","IL-18 signaling pathway","WP4754",-0.375,-1.38,0.0832 +"WP34","Ovarian Infertility Genes","WP34",-0.513,-1.41,0.0833 +"WP4337","ncRNAs involved in STAT3 signaling in hepatocellular carcinoma","WP4337",-0.611,-1.4,0.0835 +"WP3594","Circadian rhythm related genes","WP3594",-0.341,-1.31,0.0842 +"WP4521","Glycosylation and related congenital defects","WP4521",0.576,1.45,0.0853 +"WP474","Endochondral Ossification","WP474",-0.506,-1.37,0.0857 +"WP3599","Transcription factor regulation in adipogenesis","WP3599",-0.561,-1.39,0.0863 +"WP3947","Serotonin and anxiety","WP3947",-0.731,-1.37,0.0867 +"WP3298","Melatonin metabolism and effects","WP3298",-0.527,-1.36,0.0872 +"WP3934","Leptin and adiponectin","WP3934",-0.574,-1.42,0.0874 +"WP51","Regulation of Actin Cytoskeleton","WP51",-0.367,-1.34,0.088 +"WP3876","BMP2-WNT4-FOXO1 Pathway in Human Primary Endometrial Stromal Cell Differentiation","WP3876",-0.665,-1.4,0.0884 +"WP2374","Oncostatin M Signaling Pathway","WP2374",-0.447,-1.42,0.0889 +"WP1424","Globo Sphingolipid Metabolism","WP1424",-0.6,-1.37,0.0928 +"WP3943","Robo4 and VEGF Signaling Pathways Crosstalk","WP3943",-0.755,-1.4,0.0932 +"WP545","Complement Activation","WP545",-0.746,-1.39,0.0932 +"WP185","Integrin-mediated Cell Adhesion","WP185",-0.377,-1.32,0.0934 +"WP3301","MFAP5-mediated ovarian cancer cell motility and invasiveness","WP3301",-0.489,-1.32,0.0937 +"WP3878","ATM Signaling Network in Development and Disease ","WP3878",0.458,1.46,0.0946 +"WP3413","NOTCH1 regulation of human endothelial cell calcification","WP3413",-0.601,-1.39,0.095 +"WP2059","Alzheimers Disease","WP2059",-0.298,-1.23,0.0986 +"WP286","IL-3 Signaling Pathway","WP286",-0.457,-1.41,0.0994 +"WP704","Methylation Pathways","WP704",-0.668,-1.36,0.1 +"WP716","Vitamin A and Carotenoid Metabolism","WP716",-0.535,-1.38,0.1 +"WP2813","Mammary gland development pathway - Embryonic development (Stage 1 of 4)","WP2813",-0.612,-1.37,0.101 +"WP2636","Common Pathways Underlying Drug Addiction","WP2636",-0.497,-1.44,0.102 +"WP1541","Energy Metabolism","WP1541",-0.475,-1.41,0.103 +"WP2806","Human Complement System","WP2806",-0.583,-1.43,0.104 +"WP4560","MFAP5 effect on permeability and motility of endothelial cells via cytoskeleton rearrangement","WP4560",-0.634,-1.4,0.104 +"WP1423","Ganglio Sphingolipid Metabolism","WP1423",-0.666,-1.34,0.106 +"WP3679","Cell-type Dependent Selectivity of CCK2R Signaling","WP3679",-0.754,-1.35,0.108 +"WP363","Wnt Signaling Pathway (Netpath)","WP363",-0.42,-1.37,0.109 +"WP4767","FGFR3 signalling in chondrocyte proliferation and terminal differentiation","WP4767",-0.419,-1.31,0.113 +"WP3935","Leptin Insulin Overlap","WP3935",-0.603,-1.34,0.114 +"WP4698","Vitamin D-sensitive calcium signaling in depression","WP4698",-0.447,-1.27,0.114 +"WP4507","Molybdenum cofactor (Moco) biosynthesis","WP4507",-0.615,-1.33,0.115 +"WP3640","Imatinib and Chronic Myeloid Leukemia","WP3640",-0.537,-1.36,0.117 +"WP3929","Chemokine signaling pathway","WP3929",-0.442,-1.38,0.117 +"WP4258","LncRNA involvement in canonical Wnt signaling and colorectal cancer","WP4258",-0.363,-1.26,0.117 +"WP4666","Hepatitis B infection","WP4666",-0.322,-1.31,0.119 +"WP3591","Sleep regulation","WP3591",-0.6,-1.39,0.12 +"WP3595","mir-124 predicted interactions with cell cycle and differentiation ","WP3595",0.591,1.35,0.121 +"WP28","Selenium Metabolism and Selenoproteins","WP28",-0.387,-1.32,0.122 +"WP4553","FBXL10 enhancement of MAP/ERK signaling in diffuse large B-cell lymphoma","WP4553",0.494,1.33,0.122 +"WP3287","Overview of nanoparticle effects","WP3287",-0.534,-1.3,0.123 +"WP2380","Brain-Derived Neurotrophic Factor (BDNF) signaling pathway","WP2380",-0.341,-1.3,0.127 +"WP2267","Synaptic Vesicle Pathway","WP2267",-0.488,-1.37,0.128 +"WP2855","Dopaminergic Neurogenesis","WP2855",-0.712,-1.36,0.128 +"WP732","Serotonin Receptor 2 and ELK-SRF/GATA4 signaling","WP732",-0.421,-1.32,0.131 +"WP4249","Hedgehog Signaling Pathway","WP4249",-0.561,-1.36,0.132 +"WP4747","Netrin-UNC5B signaling Pathway","WP4747",-0.426,-1.33,0.132 +"WP3849","MAPK and NFkB Signalling Pathways Inhibited by Yersinia YopJ","WP3849",-0.477,-1.3,0.134 +"WP2023","Cell Differentiation - Index expanded","WP2023",-0.561,-1.29,0.138 +"WP3299","let-7 inhibition of ES cell reprogramming","WP3299",-0.737,-1.34,0.139 +"WP4482","Vitamin D in inflammatory diseases","WP4482",-0.477,-1.33,0.14 +"WP1601","Fluoropyrimidine Activity","WP1601",0.506,1.29,0.144 +"WP2849","Hematopoietic Stem Cell Differentiation","WP2849",-0.533,-1.33,0.146 +"WP3672","LncRNA-mediated mechanisms of therapeutic resistance","WP3672",-0.67,-1.32,0.146 +"WP4659","Gastrin Signaling Pathway","WP4659",-0.344,-1.3,0.147 +"WP2879","Farnesoid X Receptor Pathway","WP2879",-0.73,-1.31,0.148 +"WP2881","Estrogen Receptor Pathway","WP2881",-0.614,-1.32,0.149 +"WP2882","Nuclear Receptors Meta-Pathway","WP2882",-0.385,-1.26,0.15 +"WP364","IL-6 signaling pathway","WP364",-0.394,-1.34,0.15 +"WP411","mRNA Processing","WP411",0.338,1.46,0.152 +"WP2037","Prolactin Signaling Pathway","WP2037",-0.313,-1.25,0.153 +"WP2431","Spinal Cord Injury","WP2431",-0.426,-1.26,0.155 +"WP395","IL-4 Signaling Pathway","WP395",-0.39,-1.28,0.16 +"WP3585","Cytosine methylation","WP3585",0.581,1.35,0.161 +"WP3969","H19 action Rb-E2F1 signaling and CDK-Beta-catenin activity","WP3969",0.53,1.3,0.161 +"WP1589","Folate-Alcohol and Cancer Pathway Hypotheses","WP1589",-0.568,-1.28,0.168 +"WP1559","TFs Regulate miRNAs related to cardiac hypertrophy","WP1559",-0.569,-1.32,0.171 +"WP405","Eukaryotic Transcription Initiation","WP405",0.392,1.34,0.176 +"WP4352","Ciliary landscape","WP4352",0.26,1.25,0.177 +"WP558","Complement and Coagulation Cascades","WP558",-0.583,-1.32,0.18 +"WP23","B Cell Receptor Signaling Pathway","WP23",-0.393,-1.3,0.181 +"WP530","Cytokines and Inflammatory Response","WP530",-0.655,-1.29,0.181 +"WP2840","Hair Follicle Development: Cytodifferentiation (Part 3 of 3)","WP2840",-0.447,-1.24,0.182 +"WP3407","FTO Obesity Variant Mechanism","WP3407",-0.613,-1.26,0.182 +"WP3930","EDA Signalling in Hair Follicle Development","WP3930",-0.617,-1.28,0.182 +"WP2572","Primary Focal Segmental Glomerulosclerosis FSGS","WP2572",-0.408,-1.27,0.186 +"WP2456","HIF1A and PPARG regulation of glycolysis","WP2456",0.689,1.31,0.188 +"WP3892","Development of pulmonary dendritic cells and macrophage subsets","WP3892",-0.708,-1.26,0.191 +"WP4216","Chromosomal and microsatellite instability in colorectal cancer ","WP4216",-0.345,-1.24,0.194 +"WP262","EBV LMP1 signaling","WP262",-0.449,-1.26,0.197 +"WP2332","Interleukin-11 Signaling Pathway","WP2332",-0.331,-1.21,0.198 +"WP2916","Interactome of polycomb repressive complex 2 (PRC2) ","WP2916",0.405,1.27,0.198 +"WP4571","Urea cycle and related diseases","WP4571",0.701,1.24,0.198 +"WP3656","Interleukin-1 Induced Activation of NF-kappa-B","WP3656",0.567,1.28,0.199 +"WP4534","Mechanoregulation and pathology of YAP/TAZ via Hippo and non-Hippo mechanisms","WP4534",-0.341,-1.18,0.199 +"WP4480","Role of Altered Glycolysation of MUC1 in Tumour Microenvironment","WP4480",-0.549,-1.26,0.208 +"WP2290","RalA downstream regulated genes","WP2290",0.514,1.23,0.21 +"WP4211","Transcriptional cascade regulating adipogenesis","WP4211",-0.559,-1.25,0.211 +"WP183","Proteasome Degradation","WP183",0.445,1.33,0.212 +"WP24","Peptide GPCRs","WP24",-0.631,-1.27,0.215 +"WP3927","BMP Signaling Pathway in Eyelid Development","WP3927",-0.493,-1.23,0.216 +"WP4312","Rett syndrome causing genes","WP4312",-0.37,-1.21,0.218 +"WP4792","Purine metabolism","WP4792",0.618,1.28,0.22 +"WP2112","IL17 signaling pathway","WP2112",-0.357,-1.21,0.221 +"WP1539","Angiogenesis","WP1539",-0.526,-1.27,0.224 +"WP2113","Type III interferon signaling","WP2113",0.583,1.25,0.224 +"WP322","Osteoblast Signaling","WP322",-0.706,-1.26,0.229 +"WP4538","Regulatory circuits of the STAT3 signaling pathway","WP4538",-0.406,-1.22,0.23 +"WP3963","Mevalonate pathway","WP3963",0.715,1.24,0.233 +"WP2036","TNF related weak inducer of apoptosis (TWEAK) Signaling Pathway","WP2036",-0.386,-1.24,0.234 +"WP4724","Omega-9 FA synthesis","WP4724",0.565,1.26,0.237 +"WP4541","Hippo-Merlin Signaling Dysregulation","WP4541",-0.376,-1.18,0.241 +"WP438","Non-homologous end joining","WP438",0.473,1.25,0.242 +"WP4396","Nonalcoholic fatty liver disease","WP4396",-0.284,-1.21,0.242 +"WP1602","Nicotine Activity on Dopaminergic Neurons","WP1602",-0.511,-1.19,0.244 +"WP127","IL-5 Signaling Pathway","WP127",-0.372,-1.2,0.248 +"WP1533","Vitamin B12 Metabolism","WP1533",-0.473,-1.23,0.25 +"WP69","T-Cell antigen Receptor (TCR) Signaling Pathway","WP69",-0.433,-1.23,0.251 +"WP3933","Kennedy pathway from Sphingolipids","WP3933",0.506,1.22,0.252 +"WP3944","Serotonin and anxiety-related events","WP3944",-0.635,-1.2,0.252 +"WP1984","Integrated Breast Cancer Pathway","WP1984",0.27,1.13,0.254 +"WP4718","Cholesterol metabolism (includes both Bloch and Kandutsch-Russell pathways)","WP4718",0.445,1.24,0.254 +"WP4685","Melanoma","WP4685",-0.295,-1.15,0.255 +"WP2018","RANKL/RANK (Receptor activator of NFKB (ligand)) Signaling Pathway","WP2018",-0.366,-1.19,0.256 +"WP2333","Trans-sulfuration pathway","WP2333",0.537,1.22,0.256 +"WP3670","Simplified Interaction Map Between LOXL4 and Oxidative Stress Pathway","WP3670",-0.428,-1.18,0.256 +"WP4331","Neovascularisation processes","WP4331",-0.438,-1.2,0.256 +"WP2203","Thymic Stromal LymphoPoietin (TSLP) Signaling Pathway","WP2203",-0.423,-1.21,0.257 +"WP4483","Relationship between inflammation, COX-2 and EGFR","WP4483",-0.398,-1.16,0.257 +"WP15","Selenium Micronutrient Network","WP15",-0.393,-1.17,0.259 +"WP3965","Lipid Metabolism Pathway","WP3965",-0.414,-1.19,0.259 +"WP134","Pentose Phosphate Metabolism","WP134",0.659,1.23,0.26 +"WP408","Oxidative Stress","WP408",-0.45,-1.19,0.263 +"WP143","Fatty Acid Beta Oxidation","WP143",-0.377,-1.19,0.264 +"WP455","GPCRs, Class A Rhodopsin-like","WP455",-0.481,-1.19,0.264 +"WP2870","Extracellular vesicle-mediated signaling in recipient cells","WP2870",-0.366,-1.13,0.265 +"WP2485","NAD Biosynthesis II (from tryptophan)","WP2485",-0.587,-1.18,0.266 +"WP3958","GPR40 Pathway","WP3958",-0.499,-1.17,0.266 +"WP4298","Viral Acute Myocarditis","WP4298",-0.357,-1.16,0.266 +"WP712","Estrogen signaling pathway","WP712",-0.436,-1.2,0.266 +"WP3527","Preimplantation Embryo","WP3527",-0.413,-1.15,0.267 +"WP4259","Disorders of Folate Metabolism and Transport","WP4259",0.47,1.16,0.273 +"WP4153","Degradation pathway of sphingolipids, including diseases","WP4153",0.505,1.18,0.274 +"WP4241","Type 2 papillary renal cell carcinoma","WP4241",-0.375,-1.16,0.274 +"WP2637","Structural Pathway of Interleukin 1 (IL-1)","WP2637",-0.341,-1.16,0.277 +"WP197","Cholesterol Biosynthesis Pathway","WP197",0.661,1.24,0.278 +"WP313","Signaling of Hepatocyte Growth Factor Receptor","WP313",-0.379,-1.19,0.278 +"WP561","Heme Biosynthesis","WP561",0.528,1.19,0.281 +"WP2272","Pathogenic Escherichia coli infection","WP2272",-0.319,-1.14,0.282 +"WP3580","Methionine De Novo and Salvage Pathway","WP3580",-0.415,-1.15,0.282 +"WP4269","Ethanol metabolism resulting in production of ROS by CYP2E1","WP4269",-0.519,-1.17,0.282 +"WP4493","Cells and Molecules involved in local acute inflammatory response ","WP4493",-0.65,-1.22,0.282 +"WP4586","Metabolism of alpha-linolenic acid","WP4586",0.576,1.15,0.285 +"WP3596","miR-517 relationship with ARCN1 and USP1","WP3596",-0.599,-1.19,0.286 +"WP3657","Hematopoietic Stem Cell Gene Regulation by GABP alpha/beta Complex","WP3657",0.324,1.11,0.287 +"WP2805","exRNA mechanism of action and biogenesis","WP2805",0.571,1.2,0.29 +"WP2007","Iron metabolism in placenta","WP2007",0.518,1.17,0.295 +"WP4301","Inhibition of exosome biogenesis and secretion by Manumycin A in CRPC cells","WP4301",-0.346,-1.12,0.297 +"WP47","Hedgehog Signaling Pathway Netpath","WP47",-0.591,-1.19,0.302 +"WP4462","Platelet-mediated interactions with vascular and circulating cells","WP4462",-0.601,-1.18,0.303 +"WP4136","Fibrin Complement Receptor 3 Signaling Pathway","WP4136",-0.439,-1.15,0.309 +"WP516","Hypertrophy Model","WP516",-0.482,-1.13,0.309 +"WP4300","Extracellular vesicles in the crosstalk of cardiac cells","WP4300",-0.426,-1.1,0.314 +"WP3863","T-Cell antigen Receptor (TCR) pathway during Staphylococcus aureus infection","WP3863",-0.393,-1.15,0.318 +"WP205","IL-7 Signaling Pathway","WP205",-0.402,-1.17,0.32 +"WP4186","Somatroph axis (GH) and its relationship to dietary restriction and aging","WP4186",-0.599,-1.18,0.321 +"WP4217","Ebola Virus Pathway on Host","WP4217",-0.343,-1.13,0.321 +"WP117","GPCRs, Other","WP117",-0.459,-1.12,0.322 +"WP422","MAPK Cascade","WP422",-0.299,-1.09,0.323 +"WP4496","Signal transduction through IL1R","WP4496",-0.404,-1.13,0.325 +"WP4585","Cancer immunotherapy by PD-1 blockade","WP4585",-0.556,-1.18,0.329 +"WP176","Folate Metabolism","WP176",-0.349,-1.08,0.33 +"WP4584","Biomarkers for pyrimidine metabolism disorders","WP4584",0.455,1.12,0.33 +"WP2874","Liver X Receptor Pathway","WP2874",0.643,1.16,0.333 +"WP3915","Angiopoietin Like Protein 8 Regulatory Pathway","WP3915",-0.259,-1.08,0.334 +"WP399","Wnt Signaling Pathway and Pluripotency","WP399",-0.304,-1.06,0.335 +"WP4389","Bile Acids synthesis and enterohepatic circulation ","WP4389",-0.571,-1.15,0.336 +"WP4255","Non-small cell lung cancer","WP4255",-0.256,-1.05,0.338 +"WP3851","TLR4 Signaling and Tolerance","WP3851",-0.371,-1.11,0.339 +"WP53","ID signaling pathway","WP53",0.455,1.09,0.339 +"WP4288","MTHFR deficiency","WP4288",0.371,1.09,0.342 +"WP3972","PDGFR-beta pathway","WP3972",-0.395,-1.13,0.346 +"WP727","Monoamine Transport","WP727",-0.423,-1.09,0.35 +"WP3624","Lung fibrosis","WP3624",-0.434,-1.08,0.357 +"WP4657","22q11.2 Deletion Syndrome","WP4657",-0.344,-1.08,0.358 +"WP3644","NAD+ metabolism","WP3644",-0.394,-1.08,0.359 +"WP4559","Interactions between immune cells and microRNAs in tumor microenvironment","WP4559",-0.497,-1.14,0.36 +"WP560","TGF-beta Receptor Signaling","WP560",-0.378,-1.1,0.36 +"WP3998","Prader-Willi and Angelman Syndrome","WP3998",-0.341,-1.05,0.361 +"WP500","Glycogen Synthesis and Degradation","WP500",-0.335,-1.08,0.361 +"WP4583","Biomarkers for urea cycle disorders","WP4583",-0.531,-1.09,0.366 +"WP678","Arachidonate Epoxygenase / Epoxide Hydrolase","WP678",-0.587,-1.12,0.366 +"WP4148","Splicing factor NOVA regulated synaptic proteins","WP4148",-0.356,-1.06,0.367 +"WP4539","Synaptic signaling pathways associated with autism spectrum disorder","WP4539",-0.36,-1.09,0.37 +"WP2328","Allograft Rejection","WP2328",-0.491,-1.13,0.374 +"WP4286","Genotoxicity pathway","WP4286",-0.329,-1.04,0.377 +"WP4210","Tryptophan catabolism leading to NAD+ production","WP4210",-0.434,-1.04,0.379 +"WP4262","Breast cancer pathway","WP4262",-0.275,-1.05,0.381 +"WP1403","AMP-activated Protein Kinase (AMPK) Signaling","WP1403",-0.299,-1.06,0.383 +"WP2369","Histone Modifications","WP2369",0.324,1.04,0.384 +"WP3850","Factors and pathways affecting insulin-like growth factor (IGF1)-Akt signaling","WP3850",-0.341,-1.05,0.385 +"WP3940","One carbon metabolism and related pathways","WP3940",-0.339,-1.03,0.385 +"WP4494","Selective expression of chemokine receptors during T-cell polarization","WP4494",-0.557,-1.13,0.389 +"WP314","Fas Ligand (FasL) pathway and Stress induction of Heat Shock Proteins (HSP) regulation","WP314",0.286,1.06,0.392 +"WP136","Phase I biotransformations, non P450","WP136",-0.557,-1.1,0.393 +"WP4565","Neural Crest Cell Migration in Cancer","WP4565",-0.339,-1.05,0.393 +"WP4292","Methionine metabolism leading to Sulphur Amino Acids and related disorders","WP4292",-0.476,-1.05,0.398 +"WP4479","Supression of HMGB1 mediated inflammation by THBD","WP4479",-0.422,-1.05,0.402 +"WP1584","Type II diabetes mellitus","WP1584",-0.362,-1.03,0.406 +"WP2371","Parkinsons Disease Pathway","WP2371",0.325,1.05,0.407 +"WP2877","Vitamin D Receptor Pathway","WP2877",-0.348,-1.04,0.407 +"WP3300","Dual hijack model of Vif in HIV infection","WP3300",0.506,1.07,0.407 +"WP4142","Metabolism of Spingolipids in ER and Golgi apparatus","WP4142",-0.397,-1.03,0.411 +"WP3941","Oxidative Damage","WP3941",-0.375,-1.06,0.413 +"WP437","EGF/EGFR Signaling Pathway","WP437",-0.239,-1.02,0.415 +"WP4239","Epithelial to mesenchymal transition in colorectal cancer","WP4239",-0.29,-1.03,0.417 +"WP4224","Purine metabolism and related disorders","WP4224",0.377,1.05,0.419 +"WP4197","The human immune response to tuberculosis","WP4197",0.435,1.08,0.421 +"WP391","Mitochondrial Gene Expression","WP391",-0.372,-1.06,0.422 +"WP4722","Glycerolipids and Glycerophospholipids","WP4722",0.368,1.03,0.422 +"WP4658","Small cell lung cancer","WP4658",-0.276,-1.01,0.423 +"WP3303","RAC1/PAK1/p38/MMP2 Pathway","WP3303",0.257,1.02,0.426 +"WP3613","Photodynamic therapy-induced unfolded protein response","WP3613",0.34,1,0.433 +"WP366","TGF-beta Signaling Pathway","WP366",-0.28,-1.02,0.434 +"WP1455","Serotonin Transporter Activity","WP1455",-0.465,-1.02,0.439 +"WP2509","Nanoparticle triggered autophagic cell death","WP2509",-0.322,-0.999,0.439 +"WP4705","Pathways of nucleic acid metabolism and innate immune sensing","WP4705",0.426,1.03,0.441 +"WP4206","Hereditary leiomyomatosis and renal cell carcinoma pathway","WP4206",-0.313,-1.02,0.445 +"WP2857","Mesodermal Commitment Pathway","WP2857",-0.306,-1,0.447 +"WP698","Glucuronidation","WP698",-0.409,-1.01,0.447 +"WP272","Blood Clotting Cascade","WP272",-0.435,-0.996,0.448 +"WP195","IL-1 signaling pathway","WP195",-0.278,-1.01,0.45 +"WP2324","AGE/RAGE pathway","WP2324",-0.275,-1.01,0.451 +"WP4673","Genes involved in male infertility","WP4673",-0.254,-0.991,0.461 +"WP129","Matrix Metalloproteinases","WP129",0.414,1,0.463 +"WP61","Notch Signaling Pathway Netpath","WP61",-0.264,-0.992,0.465 +"WP2436","Dopamine metabolism","WP2436",-0.44,-0.996,0.466 +"WP3680","Association Between Physico-Chemical Features and Toxicity Associated Pathways","WP3680",-0.301,-1.01,0.466 +"WP299","Nuclear Receptors in Lipid Metabolism and Toxicity","WP299",-0.475,-1.04,0.469 +"WP2817","Mammary gland development pathway - Pregnancy and lactation (Stage 3 of 4)","WP2817",-0.386,-0.992,0.472 +"WP2884","NRF2 pathway","WP2884",-0.303,-0.962,0.473 +"WP1449","Regulation of toll-like receptor signaling pathway","WP1449",-0.277,-0.979,0.477 +"WP2865","IL1 and megakaryocytes in obesity","WP2865",-0.45,-1.01,0.48 +"WP3630","NAD metabolism, sirtuins and aging","WP3630",-0.418,-0.976,0.484 +"WP585","Interferon type I signaling pathways","WP585",-0.262,-0.964,0.485 +"WP4542","Overview of leukocyte-intrinsic Hippo pathway functions","WP4542",-0.37,-1.01,0.488 +"WP1434","Osteopontin Signaling","WP1434",0.388,0.984,0.492 +"WP4564","Neural Crest Cell Migration during Development","WP4564",-0.322,-0.997,0.494 +"WP78","TCA Cycle (aka Krebs or citric acid cycle)","WP78",-0.371,-0.991,0.5 +"WP2876","Pregnane X Receptor pathway","WP2876",-0.414,-0.967,0.502 +"WP4726","Sphingolipid Metabolism (integrated pathway)","WP4726",-0.334,-0.965,0.502 +"WP3676","BDNF-TrkB Signaling","WP3676",-0.304,-0.973,0.504 +"WP26","Signal Transduction of S1P Receptor","WP26",-0.311,-0.971,0.508 +"WP4150","Wnt Signaling in Kidney Disease","WP4150",-0.336,-0.951,0.509 +"WP4504","Cysteine and methionine catabolism","WP4504",-0.38,-0.935,0.513 +"WP3651","Pathways Affected in Adenoid Cystic Carcinoma","WP3651",0.262,0.969,0.516 +"WP229","Irinotecan Pathway","WP229",-0.521,-0.964,0.523 +"WP4341","Non-genomic actions of 1,25 dihydroxyvitamin D3","WP4341",-0.285,-0.944,0.523 +"WP3668","Hypothesized Pathways in Pathogenesis of Cardiovascular Disease","WP3668",-0.379,-0.944,0.526 +"WP3664","Regulation of Wnt/B-catenin Signaling by Small Molecule Compounds","WP3664",-0.399,-0.973,0.527 +"WP4518","Gamma-Glutamyl Cycle for the biosynthesis and degradation of glutathione, including diseases","WP4518",0.542,0.979,0.527 +"WP4721","Eicosanoid metabolism via Lipo Oxygenases (LOX)","WP4721",-0.378,-0.93,0.533 +"WP501","GPCRs, Class C Metabotropic glutamate, pheromone","WP501",-0.575,-0.97,0.533 +"WP4725","Sphingolipid Metabolism (general overview)","WP4725",-0.335,-0.937,0.534 +"WP3945","TYROBP Causal Network","WP3945",-0.435,-0.974,0.535 +"WP3845","Canonical and Non-canonical Notch signaling","WP3845",0.325,0.923,0.536 +"WP4146","Macrophage markers","WP4146",-0.564,-0.992,0.536 +"WP4297","Thiamine metabolic pathways","WP4297",-0.382,-0.913,0.536 +"WP2583","T-Cell Receptor and Co-stimulatory Signaling","WP2583",-0.337,-0.914,0.539 +"WP3967","miR-509-3p alteration of YAP1/ECM axis","WP3967",-0.467,-0.965,0.542 +"WP3971","Role of Osx and miRNAs in tooth development","WP3971",-0.442,-0.939,0.543 +"WP4566","Translation inhibitors in chronically activated PDGFRA cells","WP4566",-0.244,-0.935,0.545 +"WP1425","Bone Morphogenic Protein (BMP) Signalling and Regulation","WP1425",-0.436,-0.943,0.55 +"WP453","Inflammatory Response Pathway","WP453",-0.418,-0.94,0.551 +"WP4561","Cell migration and invasion through p75NTR","WP4561",-0.322,-0.906,0.552 +"WP22","IL-9 Signaling Pathway","WP22",-0.308,-0.905,0.554 +"WP3982","miRNA regulation of p53 pathway in prostate cancer","WP3982",0.364,0.941,0.558 +"WP4656","Joubert Syndrome","WP4656",0.288,0.9,0.563 +"WP288","NLR Proteins","WP288",0.405,0.94,0.567 +"WP311","Synthesis and Degradation of Ketone Bodies","WP311",-0.466,-0.927,0.569 +"WP2875","Constitutive Androstane Receptor Pathway","WP2875",-0.356,-0.905,0.573 +"WP1946","Cori Cycle","WP1946",-0.359,-0.886,0.58 +"WP2032","Human Thyroid Stimulating Hormone (TSH) signaling pathway","WP2032",-0.242,-0.93,0.58 +"WP4204","Tumor suppressor activity of SMARCB1","WP4204",0.295,0.893,0.589 +"WP1742","TP53 Network","WP1742",-0.333,-0.904,0.59 +"WP4758","Nephrotic syndrome","WP4758",-0.27,-0.922,0.594 +"WP2911","miRNA targets in ECM and membrane receptors","WP2911",-0.47,-0.937,0.596 +"WP2873","Aryl Hydrocarbon Receptor Pathway","WP2873",-0.307,-0.892,0.599 +"WP4313","Ferroptosis","WP4313",0.289,0.879,0.606 +"WP4495","IL-10 Anti-inflammatory Signaling Pathway ","WP4495",-0.362,-0.879,0.617 +"WP3942","PPAR signaling pathway","WP3942",-0.292,-0.906,0.618 +"WP3617","Photodynamic therapy-induced NF-kB survival signaling","WP3617",-0.361,-0.873,0.619 +"WP3611","Photodynamic therapy-induced AP-1 survival signaling.","WP3611",-0.267,-0.895,0.622 +"WP384","Apoptosis Modulation by HSP70","WP384",0.318,0.853,0.626 +"WP4205","MET in type 1 papillary renal cell carcinoma","WP4205",-0.218,-0.869,0.627 +"WP4357","NRF2-ARE regulation","WP4357",0.316,0.862,0.631 +"WP581","EPO Receptor Signaling","WP581",-0.272,-0.869,0.634 +"WP477","Cytoplasmic Ribosomal Proteins","WP477",-0.308,-0.853,0.64 +"WP3844","PI3K-AKT-mTOR signaling pathway and therapeutic opportunities","WP3844",-0.261,-0.869,0.641 +"WP702","Metapathway biotransformation Phase I and II","WP702",-0.293,-0.878,0.643 +"WP254","Apoptosis","WP254",0.276,0.863,0.645 +"WP4271","Vitamin B12 Disorders","WP4271",0.357,0.859,0.651 +"WP3","Phytochemical activity on NRF2 transcriptional activation","WP3",0.378,0.847,0.654 +"WP4532","Intraflagellar transport proteins binding to dynein","WP4532",-0.285,-0.813,0.654 +"WP3858","Toll-like Receptor Signaling related to MyD88","WP3858",-0.309,-0.84,0.655 +"WP43","Oxidation by Cytochrome P450","WP43",-0.341,-0.849,0.655 +"WP75","Toll-like Receptor Signaling Pathway","WP75",-0.248,-0.846,0.66 +"WP2526","PDGF Pathway","WP2526",-0.25,-0.854,0.661 +"WP2586","Aryl Hydrocarbon Receptor Netpath","WP2586",-0.267,-0.852,0.662 +"WP619","Type II interferon signaling (IFNG)","WP619",0.354,0.788,0.664 +"WP2038","Regulation of Microtubule Cytoskeleton","WP2038",0.266,0.817,0.68 +"WP2815","Mammary gland development pathway - Involution (Stage 4 of 4)","WP2815",0.385,0.834,0.689 +"WP244","Alpha 6 Beta 4 signaling pathway","WP244",-0.25,-0.793,0.692 +"WP3646","Hepatitis C and Hepatocellular Carcinoma","WP3646",0.255,0.824,0.696 +"WP2291","Deregulation of Rab and Rab Effector Genes in Bladder Cancer","WP2291",-0.393,-0.794,0.704 +"WP4533","Transcription co-factors SKI and SKIL protein partners","WP4533",-0.308,-0.829,0.705 +"WP615","Senescence and Autophagy in Cancer","WP615",-0.213,-0.823,0.709 +"WP2854","Gene regulatory network modelling somitogenesis ","WP2854",0.475,0.841,0.712 +"WP2643","Nanoparticle-mediated activation of receptor signaling","WP2643",-0.25,-0.82,0.72 +"WP1422","Sphingolipid pathway","WP1422",-0.256,-0.815,0.721 +"WP1471","Target Of Rapamycin (TOR) Signaling","WP1471",-0.24,-0.785,0.724 +"WP2011","SREBF and miR33 in cholesterol and lipid homeostasis","WP2011",-0.292,-0.795,0.73 +"WP4478","LTF danger signal response pathway","WP4478",-0.33,-0.779,0.732 +"WP3655","Hypothetical Craniofacial Development Pathway","WP3655",0.412,0.812,0.734 +"WP4629","Computational Model of Aerobic Glycolysis","WP4629",0.34,0.791,0.737 +"WP4236","Disorders of the Krebs cycle","WP4236",0.32,0.768,0.741 +"WP2447","Amyotrophic lateral sclerosis (ALS)","WP2447",-0.233,-0.81,0.746 +"WP3286","Copper homeostasis","WP3286",-0.239,-0.838,0.748 +"WP357","Fatty Acid Biosynthesis","WP357",-0.253,-0.798,0.75 +"WP4582","Cancer immunotherapy by CTLA4 blockade","WP4582",-0.306,-0.761,0.751 +"WP4147","PTF1A related regulatory pathway","WP4147",-0.371,-0.774,0.752 +"WP2453","TCA Cycle and Deficiency of Pyruvate Dehydrogenase complex (PDHc)","WP2453",0.256,0.73,0.753 +"WP2878","PPAR Alpha Pathway","WP2878",0.274,0.78,0.755 +"WP3925","Amino Acid metabolism","WP3925",-0.216,-0.779,0.756 +"WP4141","PI3K/AKT/mTOR - VitD3 Signalling","WP4141",-0.27,-0.756,0.758 +"WP111","Electron Transport Chain (OXPHOS system in mitochondria)","WP111",-0.223,-0.653,0.759 +"WP12","Osteoclast Signaling","WP12",0.333,0.759,0.759 +"WP3529","Zinc homeostasis","WP3529",0.281,0.76,0.759 +"WP4263","Pancreatic adenocarcinoma pathway","WP4263",0.203,0.833,0.764 +"WP4329","miRNAs involvement in the immune response in sepsis","WP4329",-0.274,-0.745,0.772 +"WP4742","Ketogenesis and Ketolysis","WP4742",-0.34,-0.791,0.779 +"WP497","Urea cycle and metabolism of amino groups","WP497",-0.307,-0.79,0.787 +"WP524","G13 Signaling Pathway","WP524",-0.2,-0.79,0.789 +"WP3678","Amplification and Expansion of Oncogenic Pathways as Metastatic Traits","WP3678",0.308,0.754,0.792 +"WP4537","Hippo-Yap signaling pathway","WP4537",-0.277,-0.753,0.792 +"WP4536","Genes related to primary cilium development (based on CRISPR)","WP4536",0.252,0.671,0.796 +"WP138","Androgen receptor signaling pathway","WP138",-0.175,-0.716,0.798 +"WP4549","Fragile X Syndrome ","WP4549",-0.191,-0.805,0.801 +"WP2359","Parkin-Ubiquitin Proteasomal System pathway","WP2359",0.186,0.691,0.802 +"WP2853","Endoderm Differentiation","WP2853",-0.223,-0.812,0.802 +"WP368","Mitochondrial LC-Fatty Acid Beta-Oxidation","WP368",-0.261,-0.708,0.809 +"WP534","Glycolysis and Gluconeogenesis","WP534",-0.239,-0.734,0.813 +"WP3859","TGF-B Signaling in Thyroid Cells for Epithelial-Mesenchymal Transition","WP3859",-0.267,-0.707,0.818 +"WP2507","Nanomaterial induced apoptosis","WP2507",0.271,0.728,0.824 +"WP3872","Regulation of Apoptosis by Parathyroid Hormone-related Protein","WP3872",-0.266,-0.715,0.828 +"WP3612","Photodynamic therapy-induced NFE2L2 (NRF2) survival signaling","WP3612",-0.273,-0.666,0.829 +"WP710","DNA Damage Response (only ATM dependent)","WP710",-0.201,-0.772,0.834 +"WP2533","Glycerophospholipid Biosynthetic Pathway","WP2533",-0.238,-0.738,0.835 +"WP3877","Simplified Depiction of MYD88 Distinct Input-Output Pathway","WP3877",-0.312,-0.735,0.836 +"WP623","Oxidative phosphorylation","WP623",0.218,0.554,0.839 +"WP1433","Nucleotide-binding Oligomerization Domain (NOD) pathway","WP1433",-0.25,-0.627,0.841 +"WP4674","Head and Neck Squamous Cell Carcinoma","WP4674",-0.191,-0.747,0.844 +"WP106","Alanine and aspartate metabolism","WP106",0.355,0.663,0.845 +"WP231","TNF alpha Signaling Pathway","WP231",-0.183,-0.729,0.851 +"WP2828","Bladder Cancer","WP2828",0.242,0.736,0.852 +"WP3874","Canonical and Non-Canonical TGF-B signaling","WP3874",-0.269,-0.61,0.858 +"WP4558","Overview of interferons-mediated signaling pathway","WP4558",0.237,0.656,0.858 +"WP4018","Pathways in clear cell renal cell carcinoma","WP4018",-0.203,-0.752,0.861 +"WP4723","Omega-3/Omega-6 FA synthesis","WP4723",0.292,0.687,0.863 +"WP2261","Signaling Pathways in Glioblastoma","WP2261",-0.204,-0.753,0.865 +"WP4324","Mitochondrial complex I assembly model OXPHOS system","WP4324",0.179,0.485,0.865 +"WP4159","GABA receptor Signaling","WP4159",0.267,0.649,0.874 +"WP2249","Metastatic brain tumor","WP2249",-0.329,-0.684,0.875 +"WP2864","Apoptosis-related network due to altered Notch3 in ovarian cancer","WP2864",-0.215,-0.669,0.88 +"WP4562","Canonical NF-KB pathway","WP4562",-0.276,-0.646,0.883 +"WP2868","TCA Cycle Nutrient Utilization and Invasiveness of Ovarian Cancer","WP2868",0.306,0.616,0.898 +"WP697","Estrogen metabolism","WP697",0.331,0.667,0.903 +"WP4523","Classical pathway of steroidogenesis, including diseases","WP4523",-0.321,-0.655,0.904 +"WP3926","ApoE and miR-146 in inflammation and atherosclerosis","WP3926",-0.279,-0.608,0.916 +"WP400","p38 MAPK Signaling Pathway","WP400",0.179,0.675,0.916 +"WP3593","MicroRNA for Targeting Cancer Growth and Vascularization in Glioblastoma","WP3593",-0.287,-0.653,0.917 +"WP430","Statin Pathway","WP430",0.25,0.635,0.921 +"WP3865","Novel intracellular components of RIG-I-like receptor (RLR) pathway","WP3865",0.186,0.677,0.929 +"WP100","Glutathione metabolism","WP100",-0.259,-0.591,0.933 +"WP1531","Vitamin D Metabolism","WP1531",0.304,0.618,0.937 +"WP268","Notch Signaling","WP268",0.172,0.642,0.938 +"WP3645","NAD+ biosynthetic pathways","WP3645",-0.204,-0.657,0.939 +"WP3614","Photodynamic therapy-induced HIF-1 survival signaling","WP3614",0.208,0.608,0.944 +"WP3937","Microglia Pathogen Phagocytosis Pathway","WP3937",0.225,0.495,0.946 +"WP107","Translation Factors","WP107",0.122,0.544,0.947 +"WP1772","Apoptosis Modulation and Signaling","WP1772",-0.192,-0.678,0.95 +"WP691","Tamoxifen metabolism","WP691",0.302,0.549,0.954 +"WP4655","Cytosolic DNA-sensing pathway","WP4655",-0.172,-0.52,0.964 +"WP696","Benzo(a)pyrene metabolism","WP696",0.264,0.468,0.966 +"WP1982","Sterol Regulatory Element-Binding Proteins (SREBP) signalling","WP1982",0.157,0.565,0.969 +"WP80","Nucleotide GPCRs","WP80",-0.31,-0.584,0.969 +"WP3871","Valproic acid pathway","WP3871",-0.228,-0.508,0.974 +"WP4522","Metabolic pathway of LDL, HDL and TG, including diseases","WP4522",-0.261,-0.576,0.976 +"WP3869","Cannabinoid receptor signaling","WP3869",0.197,0.611,0.982 +"WP2513","Nanoparticle triggered regulated necrosis","WP2513",0.201,0.48,0.984 +"WP2942","DDX1 as a regulatory component of the Drosha microprocessor","WP2942",-0.227,-0.518,0.984 +"WP692","Sulfation Biotransformation Reaction","WP692",0.228,0.452,0.988 +"WP325","Triacylglyceride Synthesis","WP325",0.176,0.46,0.998 +"WP4577","Neurodegeneration with brain iron accumulation (NBIA) subtypes pathway","WP4577",0.0985,0.444,1 diff --git a/statistics-enrichment-analysis/association_results/bladder_cancer_WikiPathways_ora.csv b/statistics-enrichment-analysis/association_results/bladder_cancer_WikiPathways_ora.csv new file mode 100644 index 0000000..f9749c0 --- /dev/null +++ b/statistics-enrichment-analysis/association_results/bladder_cancer_WikiPathways_ora.csv @@ -0,0 +1,496 @@ +"ID","Description","GeneRatio","BgRatio","pvalue","p.adjust","qvalue","geneID","Count","odds_ratio" +"WP2446","Retinoblastoma Gene in Cancer","47/1022","86/4839",6.08288534347113e-12,3.01102824501821e-09,2.81733636960768e-09,"25/54443/890/891/9133/898/9134/993/8318/8317/983/1017/1019/81620/1111/1786/1869/1870/2189/24137/4173/4175/4176/2956/4609/4998/5111/10733/5426/5427/5557/5591/5928/5947/5983/5984/5985/6119/6241/6502/10592/3925/7027/7153/7272/7298/7465",47,4.66971729125575 +"WP466","DNA Replication","26/1022","41/4839",4.88122298123165e-09,1.20810268785483e-06,1.13038847986417e-06,"8318/990/8317/1017/81620/10926/55388/4171/4173/4174/4175/4176/4998/23594/5111/23649/5424/5426/5427/5557/5558/5982/5983/5984/5985/6119",26,6.61659973226238 +"WP2361","Gastric Cancer Network 1","16/1022","22/4839",2.8778815405389e-07,4.20813701870437e-05,3.93743814615614e-05,"86/6790/1063/144455/1894/56992/9585/286826/4173/4605/57122/8607/64094/7153/22974/11065",16,10.1020543406229 +"WP179","Cell Cycle","48/1022","115/4839",3.40051476258939e-07,4.20813701870437e-05,3.93743814615614e-05,"25/699/9184/890/891/9133/894/898/9134/991/993/995/8318/990/8317/983/1017/1019/1028/1111/11200/10926/1869/1870/9700/4616/2932/3066/10459/4171/4173/4174/4175/4176/4609/4998/23594/5111/9088/5347/5591/9232/5933/6502/7027/7043/7272/7465",48,2.75828250942413 +"WP45","G1 to S cell cycle control","30/1022","61/4839",9.28021377109086e-07,9.18741163337995e-05,8.59640854585259e-05,"891/894/898/9134/993/8318/983/1017/1019/1028/90993/1869/1870/4171/4173/4174/4175/4176/4609/4998/23594/5111/23649/5426/5427/5557/5558/6119/7027/7465",30,3.69341831425598 +"WP289","Myometrial Relaxation and Contraction Pathways","46/1022","120/4839",9.77018041145599e-06,0.000806039883945119,0.000754189365094849,"58/59/70/108/196883/111/115/408/467/489/800/817/1264/2353/2791/55970/54331/2788/2869/3488/3489/3569/3708/1902/23764/4846/5142/5144/11142/5331/5336/5577/5579/5590/10267/10266/10268/5996/8786/10287/5997/8490/8787/6262/6263/6546",46,2.38394439521489 +"WP4016","DNA IR-damage and cellular response via ATR","31/1022","75/4839",5.22036834352934e-05,0.00369154618578146,0.00345407830248558,"672/675/83990/995/8318/983/1017/1111/11200/1196/63967/1869/9156/2175/2177/55215/2237/2305/4171/4436/79728/5111/5347/5591/5888/5883/55159/80010/55775/11073/7507",31,2.68239152371342 +"WP383","Striated Muscle Contraction Pathway","13/1022","23/4839",0.000209501159191158,0.0129628842249529,0.0121290144794881,"58/59/70/1674/1756/10398/8736/7111/7139/7168/7169/7170/7431",13,4.90495540138751 +"WP536","Calcium Regulation in the Cardiac Cell","38/1022","107/4839",0.000369441897512897,0.0203193043632093,0.0190122146088508,"108/196883/111/115/154/309/408/482/489/775/811/817/845/2701/57165/2775/2781/2791/55970/54331/2788/2869/3708/11142/5331/5350/5577/5579/5590/5996/8786/10287/5997/8490/8787/6262/6263/6546",38,2.09767880287499 +"WP1991","SRF and miRs in Smooth Muscle Differentiation and Proliferation","7/1022","9/4839",0.000442625689689891,0.0219099716396496,0.0205005582593213,"817/894/9314/4208/4209/93649/6722",7,13.1551724137931 +"WP531","DNA Mismatch Repair","11/1022","21/4839",0.00152210454302198,0.0629714363335005,0.0589206421833923,"9156/3978/4436/2956/5111/5424/5982/5983/5984/5985/6119",11,4.14213649851632 +"WP2406","Cardiac Progenitor Differentiation","14/1022","30/4839",0.00152658027475153,0.0629714363335005,0.0589206421833923,"70/22943/2247/2932/3479/3624/3815/4208/4684/5156/4920/64321/6910/7139",14,3.29947916666667 +"WP1530","miRNA Regulation of DNA Damage Response","24/1022","64/4839",0.00186690102319929,0.0710858466525883,0.0665130728913107,"25/637/672/891/9133/894/898/9134/993/995/983/1017/1019/1020/1111/11200/1869/2177/4616/4176/4609/5591/5888/5883",24,2.27074148296593 +"WP35","G Protein Signaling Pathways","27/1022","76/4839",0.00250847820080499,0.0790149987243626,0.0739321625491112,"108/196883/111/115/9590/11214/9472/9465/9630/2774/2775/2781/2791/55970/2788/3708/4893/5136/5142/5144/27115/5331/5533/5577/5579/5590/6237",27,2.08667828940621 +"WP707","DNA Damage Response","23/1022","62/4839",0.00271330802302758,0.0790149987243626,0.0739321625491112,"25/637/672/891/9133/894/898/9134/993/995/983/1017/1019/1020/1111/11200/1869/2177/4616/4609/5591/5888/5883",23,2.2302815636149 +"WP1602","Nicotine Activity on Dopaminergic Neurons","7/1022","11/4839",0.00271364642083669,0.0790149987243626,0.0739321625491112,"108/1020/1138/54331/3777/84152/6571",7,6.57413793103448 +"WP2023","Cell Differentiation - Index expanded","7/1022","11/4839",0.00271364642083669,0.0790149987243626,0.0739321625491112,"2146/10014/3398/9314/4208/4209/6722",7,6.57413793103448 +"WP2848","Differentiation Pathway","12/1022","26/4839",0.0036947121263992,0.0968690978699419,0.0906377523929281,"22943/2247/3082/3479/3569/3570/3624/3815/4907/7043/7472/7482",12,3.22743988684583 +"WP558","Complement and Coagulation Cascades","16/1022","39/4839",0.00371820779702807,0.0968690978699419,0.0906377523929281,"623/715/716/718/730/1675/3075/1191/2159/2161/2157/5648/5627/710/7035/7450",16,2.62356297000605 +"WP2516","ATM Signaling Pathway","15/1022","37/4839",0.00561025279060555,0.138853756567487,0.129921643571918,"25/637/672/835/891/898/993/995/983/1017/1111/11200/2177/5888/5883",15,2.5695134061569 +"WP4240","Regulation of sister chromatid separation at the metaphase-anaphase transition","8/1022","15/4839",0.00595545166757851,0.140378503592922,0.131348307455366,"699/701/9184/991/1062/9700/4085/9232",8,4.29416737109045 +"WP4222","Phosphodiesterases in neuronal function","13/1022","31/4839",0.00694925428195734,0.149785380106981,0.140150063257994,"108/196883/111/115/2906/5136/5138/5140/5142/5144/8654/27115/84152",13,2.71924898138971 +"WP236","Adipogenesis","33/1022","104/4839",0.00695972473224355,0.149785380106981,0.140150063257994,"1052/1675/55847/1869/1879/1959/2308/2487/4616/3479/3569/3572/28999/1316/3977/4154/4208/4209/4692/7025/2908/5465/10891/5740/5914/5933/6095/6319/6517/9021/6773/6777/25937",33,1.76046369216309 +"WP2806","Human Complement System","22/1022","63/4839",0.00765136578770975,0.151658530005302,0.141902718133616,"715/716/718/730/811/966/22918/1675/3075/5199/1634/2159/2161/2162/3690/5648/5627/5806/6401/6403/710/6696",22,2.02614634146341 +"WP3996","Ethanol effects on histone modifications","12/1022","28/4839",0.00765952171743951,0.151658530005302,0.141902718133616,"125/126/191/217/3066/9759/10014/10013/8850/4524/6573/7298",12,2.82252475247525 +"WP247","Small Ligand GPCRs","6/1022","10/4839",0.00837134097206408,0.153474584487841,0.14360195039798,"1902/5733/5734/5737/1901/9294",6,5.62942913385827 +"WP4545","Oxysterols derived from cholesterol","6/1022","10/4839",0.00837134097206408,0.153474584487841,0.14360195039798,"9023/1593/1717/2053/2099/1880",6,5.62942913385827 +"WP4337","ncRNAs involved in STAT3 signaling in hepatocellular carcinoma","7/1022","13/4839",0.00947004961583731,0.167416948565695,0.156647437254452,"3590/3569/3570/3572/3717/6659/6935",7,4.38045977011494 +"WP2363","Gastric Cancer Network 2","12/1022","29/4839",0.0106076900909422,0.181062296379876,0.169415014156609,"29028/27101/63922/79075/55215/84823/4609/5983/5984/7153/11065/29089",12,2.65579499126383 +"WP1971","Integrated Cancer Pathway","16/1022","43/4839",0.0111649064981956,0.184220957220227,0.172370486287932,"596/641/672/993/983/1017/1019/1111/11200/1869/4312/4436/2956/4609/5347/5451",16,2.23253074147706 +"WP474","Endochondral Ossification","19/1022","54/4839",0.0116567995879756,0.18613276761445,0.17415931472697,"9510/9507/11096/1028/5167/2247/2260/2487/2690/9759/3479/4208/4256/4322/5745/6696/6777/7067/7078",19,2.04694487964677 +"WP706","Sudden Infant Death Syndrome (SIDS) Susceptibility Pathways","31/1022","100/4839",0.012513191903912,0.193563437263639,0.181111988082937,"34/627/1390/1958/2305/23171/7184/3569/3570/3757/4150/4204/4208/4602/2908/4915/5354/10891/133522/5577/6095/6262/6330/291/6640/6869/6929/11076/7259/6844/7434",31,1.69917664780123 +"WP4149","White fat cell differentiation","12/1022","30/4839",0.0143601520308822,0.214413838417165,0.20062113536109,"1052/1879/1959/2308/28999/10365/9314/2908/5914/6095/6777/23090",12,2.50759075907591 +"WP4589","Major receptors targeted by epinephrine and norepinephrine","6/1022","11/4839",0.0151605744335369,0.214413838417165,0.20062113536109,"108/196883/111/115/150/154",6,4.50236220472441 +"WP554","ACE Inhibitor Pathway","6/1022","11/4839",0.0151605744335369,0.214413838417165,0.20062113536109,"185/623/624/1511/4846/4306",6,4.50236220472441 +"WP2431","Spinal Cord Injury","28/1022","90/4839",0.0162686915442285,0.221975388746869,0.207696270172509,"358/627/7832/6347/983/1017/1019/1464/2920/1869/1958/2353/3569/4321/4609/4804/3164/9423/5320/56963/388/65078/6403/9353/6586/6869/7431/7538",28,1.70604270786006 +"WP3959","DNA IR-Double Strand Breaks (DSBs) and cellular response via ATM","18/1022","52/4839",0.0165920997649174,0.221975388746869,0.207696270172509,"25/86/637/641/672/675/995/1020/1111/11200/1869/9156/2177/5111/5591/5888/5883/10413",18,1.99478556362784 +"WP2029","Cell Differentiation - Index","4/1022","6/4839",0.0205766471129607,0.261165136433732,0.244365039937995,"10014/4208/4209/6722",4,7.4950884086444 +"WP3944","Serotonin and anxiety-related events","4/1022","6/4839",0.0205766471129607,0.261165136433732,0.244365039937995,"2353/2906/84812/5579",4,7.4950884086444 +"WP3893","Development and heterogeneity of the ILC family","8/1022","18/4839",0.0221682040659433,0.274331525316048,0.256684468131975,"374/3398/90865/3569/6095/9760/85480/7704",8,3.00355029585799 +"WP516","Hypertrophy Model","7/1022","15/4839",0.023921397351209,0.281930754496392,0.26379485800832,"467/1978/1839/3727/8013/9948/6935",7,3.28362068965517 +"WP545","Complement Activation","7/1022","15/4839",0.023921397351209,0.281930754496392,0.26379485800832,"715/716/718/730/1675/5199/5648",7,3.28362068965517 +"WP2814","Mammary gland development pathway - Puberty (Stage 2 of 4)","6/1022","12/4839",0.0249881820525124,0.283655270848162,0.265408440559683,"374/2099/8061/4609/5241/7431",6,3.7509842519685 +"WP428","Wnt Signaling","28/1022","93/4839",0.0252138018531699,0.283655270848162,0.265408440559683,"817/894/1457/23500/22943/8061/2535/8324/2932/4609/4772/4776/85407/51701/5331/5332/5532/5533/166336/5579/4919/4920/5176/6422/64321/81839/7472/7482",28,1.62600216684724 +"WP4172","PI3K-Akt Signaling Pathway","66/1022","252/4839",0.0279094709530498,0.306261336676163,0.286560315018632,"10000/284/596/627/672/894/898/9134/1017/1019/1286/1288/1291/1292/90993/9586/1440/1944/1945/1975/1978/2256/2258/2247/2252/2260/2690/2791/55970/54331/2788/2932/3082/7184/3479/3563/3569/3570/3678/3679/8516/3680/3690/3717/3815/3908/3913/10319/1902/4602/4609/4804/4846/4893/4915/80310/5156/5516/5521/5525/5563/5649/6696/7010/7148/7450",66,1.34771899041706 +"WP170","Nuclear Receptors","11/1022","29/4839",0.028460649468896,0.306261336676163,0.286560315018632,"2099/7025/2908/3164/4929/5241/5465/5914/4919/6095/7067",11,2.29635124738982 +"WP3297","EV release from cardiac cells and their functional effects","3/1022","4/4839",0.0316543966692141,0.333381411728957,0.31193582383996,"6387/10365/4602",3,11.234543670265 +"WP2858","Ectoderm Differentiation","32/1022","112/4839",0.0363507203093282,0.369978106127767,0.34617834491487,"79658/55843/23229/91653/10486/6347/5010/1756/2534/8322/2627/10013/3853/9079/4204/4609/4772/51701/51422/56963/114822/4920/6386/6622/8835/114815/10253/6781/6929/7226/8848/7704",32,1.50989898989899 +"WP4752","Base Excision Repair","11/1022","30/4839",0.0366240953540618,0.369978106127767,0.34617834491487,"2237/3978/4595/10038/5111/11284/5424/5426/5427/23583/7374",11,2.17491800718413 +"WP3591","Sleep regulation","6/1022","13/4839",0.0382894384268054,0.379065440425373,0.354681113848302,"191/1471/2353/3569/8863/5730",6,3.21428571428571 +"WP1992","Genes targeted by miRNAs in adipocytes","5/1022","10/4839",0.0406085173589397,0.38656184793606,0.361695296314442,"2078/9464/9759/3479/6722",5,3.74827925270403 +"WP2815","Mammary gland development pathway - Involution (Stage 4 of 4)","5/1022","10/4839",0.0406085173589397,0.38656184793606,0.361695296314442,"1116/1869/3572/4609/9021",5,3.74827925270403 +"WP1984","Integrated Breast Cancer Pathway","39/1022","143/4839",0.0451540264348633,0.421721567646365,0.394593279669113,"25/6790/596/637/641/672/675/993/1017/1019/1111/11200/55526/1869/26284/2099/27145/8061/2308/4312/4436/2956/4609/79902/4953/5347/1263/5888/8438/5906/6237/23411/4092/6597/7035/7048/27005/7465/7517",39,1.41645473041709 +"WP34","Ovarian Infertility Genes","7/1022","17/4839",0.0488930677721469,0.440037609949322,0.411731097028606,"894/1019/1958/2701/5241/6609/7784",7,2.62551724137931 +"WP4300","Extracellular vesicles in the crosstalk of cardiac cells","7/1022","17/4839",0.0488930677721469,0.440037609949322,0.411731097028606,"332/975/3479/3569/10611/8470/6696",7,2.62551724137931 +"WP2849","Hematopoietic Stem Cell Differentiation","14/1022","43/4839",0.0536575816417183,0.467920123508186,0.43781999860415,"863/947/1440/2313/2353/2354/3569/3663/3690/3757/4602/3071/399/7148",14,1.81417624521073 +"WP1601","Fluoropyrimidine Activity","10/1022","28/4839",0.0538817111918517,0.467920123508186,0.43781999860415,"1066/8836/4524/5471/6241/23583/7083/7298/7371/7517",10,2.08552920509442 +"WP3876","BMP2-WNT4-FOXO1 Pathway in Human Primary Endometrial Stromal Cell Differentiation","5/1022","11/4839",0.0618151364634419,0.524734603786845,0.490979746233305,"1634/22943/2308/6422/4093",5,3.12274664044576 +"WP241","One Carbon Metabolism","9/1022","25/4839",0.062831257423353,0.524734603786845,0.490979746233305,"191/1786/1788/1789/2618/25902/4524/6472/7298",9,2.11062438302073 +"WP2895","Differentiation of white and brown adipocyte ","7/1022","18/4839",0.0658997992215493,0.524734603786845,0.490979746233305,"253738/27129/10891/133522/63976/4093/23090",7,2.38620689655172 +"WP2118","Arrhythmogenic Right Ventricular Cardiomyopathy","17/1022","56/4839",0.0661533109186531,0.524734603786845,0.490979746233305,"775/781/783/785/1674/1756/3678/3679/8516/3680/3690/3908/6262/6442/6443/6444/6546",17,1.63862737594081 +"WP206","Fatty Acid Omega Oxidation","3/1022","5/4839",0.0667844041183257,0.524734603786845,0.490979746233305,"125/126/217",3,5.61579980372915 +"WP3299","let-7 inhibition of ES cell reprogramming","3/1022","5/4839",0.0667844041183257,0.524734603786845,0.490979746233305,"1958/9314/4609",3,5.61579980372915 +"WP98","Prostaglandin Synthesis and Regulation","12/1022","37/4839",0.0728698633344591,0.559196388737501,0.523224691216376,"309/1909/1910/4286/10891/133522/5730/5733/5734/5737/5740/5742",12,1.80213861386139 +"WP4698","Vitamin D-sensitive calcium signaling in depression","8/1022","22/4839",0.0734298288241164,0.559196388737501,0.523224691216376,"493/596/775/1593/2906/3708/23028/6546",8,2.14313891236968 +"WP4336","ncRNAs involved in Wnt signaling in hepatocellular carcinoma","20/1022","69/4839",0.0752279353205046,0.564209514903784,0.527915335582488,"894/1457/22943/2146/8061/2535/8324/2932/9314/4609/85407/51701/4919/4920/5176/6422/64321/83595/7472/7482",20,1.53488940486374 +"WP3998","Prader-Willi and Angelman Syndrome","10/1022","30/4839",0.0825797783657116,0.610104332701899,0.570857855159672,"627/894/990/1019/1869/9638/4487/4692/5108/5590",10,1.87598814229249 +"WP4224","Purine metabolism and related disorders","7/1022","19/4839",0.0860390711246063,0.623135020434443,0.583050311517608,"316/1716/2618/3251/3704/10606/5471",7,2.1867816091954 +"WP3624","Lung fibrosis","13/1022","42/4839",0.087955807542379,0.623135020434443,0.583050311517608,"6347/1440/2920/2006/2247/2252/3082/3479/3569/4204/5806/4092/6696",13,1.68292266156317 +"WP4760","PKC-gamma calcium signaling pathway in ataxia","5/1022","12/4839",0.0881201038998203,0.623135020434443,0.583050311517608,"9630/3708/5331/5332/6263",5,2.67593763168984 +"WP3932","Focal Adhesion-PI3K-Akt-mTOR-signaling pathway","60/1022","243/4839",0.0951492832930012,0.663364721549797,0.620692137122617,"10000/284/1301/1286/1288/1292/90993/9586/1440/1944/1945/1975/1978/2256/2258/2247/2252/2260/2308/2690/2791/55970/54331/2788/2932/3082/64344/7184/3479/3563/3570/3678/3679/8516/3680/3690/3717/3815/3908/3913/10319/1902/4804/4846/4893/80310/5156/5210/10891/5516/5521/5525/5563/5649/6515/6517/6696/7010/7148/7450",60,1.23853992706452 +"WP3679","Cell-type Dependent Selectivity of CCK2R Signaling","4/1022","9/4839",0.100966138374052,0.685679647373976,0.641571599882083,"3708/6262/6263/7220",4,2.99567779960707 +"WP497","Urea cycle and metabolism of amino groups","6/1022","16/4839",0.101120432845051,0.685679647373976,0.641571599882083,"5832/1152/2593/162417/4953/5831",6,2.24822834645669 +"WP4258","LncRNA involvement in canonical Wnt signaling and colorectal cancer","21/1022","76/4839",0.106066145727212,0.70949651533743,0.663856388619817,"467/894/1457/22943/2146/8061/2535/8324/2932/4609/85407/51701/4919/4920/8607/5176/6422/64321/6929/7472/7482",21,1.43496503496503 +"WP2338","miRNA Biogenesis","3/1022","6/4839",0.112992161123691,0.735935786266143,0.688594887734403,"5901/6895/57510",3,3.74288518155054 +"WP4571","Urea cycle and related diseases","3/1022","6/4839",0.112992161123691,0.735935786266143,0.688594887734403,"162417/10165/10166",3,3.74288518155054 +"WP1495","Glycine Metabolism","2/1022","3/4839",0.114915958441986,0.738745447127052,0.691223810177358,"4524/6472",2,7.48235294117647 +"WP2355","Corticotropin-releasing hormone signaling pathway","20/1022","73/4839",0.120714965545451,0.766075742884595,0.716796016734124,"408/596/8912/2353/2354/8061/2775/2781/2932/3726/3727/4846/3164/4929/5336/5563/5579/10411/9095/6925",20,1.41754227394268 +"WP4560","MFAP5 effect on permeability and motility of endothelial cells via cytoskeleton rearrangement","6/1022","17/4839",0.12960808652118,0.812101301620054,0.759860867012917,"3690/3708/4026/8076/4638/7414",6,2.04330708661417 +"WP3658","Wnt/beta-catenin Signaling Pathway in Leukemia","7/1022","21/4839",0.135477853961833,0.83826922138884,0.784345470305348,"22943/2932/4609/5914/862/6929/7704",7,1.87339901477833 +"WP2817","Mammary gland development pathway - Pregnancy and lactation (Stage 3 of 4)","8/1022","25/4839",0.138618514440201,0.84711314380123,0.792620485428051,"857/2099/3717/4609/2908/5241/7170/7528",8,1.76354565494837 +"WP2855","Dopaminergic Neurogenesis","4/1022","10/4839",0.141204552384128,0.852393334513942,0.797561014749887,"1028/4487/4929/6571",4,2.49574328749181 +"WP2877","Vitamin D Receptor Pathway","30/1022","118/4839",0.148165697304679,0.883638797178506,0.826796535371702,"5243/11096/154/623/768/898/4345/1017/78989/1474/2308/50486/29923/3400/3488/3663/3726/9365/9314/4609/5734/6304/7869/6422/6517/6546/6696/79689/7078/7168",30,1.28150201612903 +"WP1545","miRNAs involved in DNA damage response","5/1022","14/4839",0.1547702251525,0.912038826791517,0.853369662494987,"25/898/993/1869/4609",5,2.08019228668196 +"WP1541","Energy Metabolism","12/1022","42/4839",0.15854563148268,0.912159802926657,0.853482856539562,"2308/2932/4208/4209/5465/10891/133522/5532/5533/5563/51422/23411",12,1.49980198019802 +"WP2038","Regulation of Microtubule Cytoskeleton","12/1022","42/4839",0.15854563148268,0.912159802926657,0.853482856539562,"25/9212/983/1073/1808/2048/2932/11004/3984/4131/3925/11076",12,1.49980198019802 +"WP117","GPCRs, Other","7/1022","22/4839",0.1644335990261,0.912159802926657,0.853482856539562,"154/1951/1909/1880/59352/5737/1901",7,1.74804597701149 +"WP2879","Farnesoid X Receptor Pathway","3/1022","7/4839",0.167689983972375,0.912159802926657,0.853482856539562,"5244/2289/10891",3,2.80642787046124 +"WP322","Osteoblast Signaling","3/1022","7/4839",0.167689983972375,0.912159802926657,0.853482856539562,"3690/5156/5745",3,2.80642787046124 +"WP3407","FTO Obesity Variant Mechanism","3/1022","7/4839",0.167689983972375,0.912159802926657,0.853482856539562,"84159/10891/63976",3,2.80642787046124 +"WP3947","Serotonin and anxiety","3/1022","7/4839",0.167689983972375,0.912159802926657,0.853482856539562,"2353/84812/5579",3,2.80642787046124 +"WP3594","Circadian rhythm related genes","34/1022","138/4839",0.177587188667422,0.920698826812516,0.861472586491243,"191/1019/1390/1408/1471/1958/1960/2146/2932/3066/3398/3400/3569/3727/3778/7071/687/56339/4804/4841/5187/8864/8863/5465/10891/5563/5591/5730/6095/23411/8914/7153/7298/9099",34,1.22860868888197 +"WP4321","Thermogenesis","23/1022","90/4839",0.180110321104423,0.920698826812516,0.861472586491243,"86/108/196883/111/115/353500/656/90993/9586/2260/23028/11343/4881/4893/10891/63976/5563/51422/5592/6196/6597/6598/6602",23,1.28860203487069 +"WP4259","Disorders of Folate Metabolism and Transport","4/1022","11/4839",0.186569932910234,0.920698826812516,0.861472586491243,"2618/4524/6472/7298",4,2.13864720740949 +"WP2840","Hair Follicle Development: Cytodifferentiation (Part 3 of 3)","15/1022","56/4839",0.187328788615833,0.920698826812516,0.861472586491243,"6868/4345/947/22943/1959/2353/2354/3479/3488/4487/4772/2908/6422/6929/6925",15,1.37186039189091 +"WP2197","Endothelin Pathways","7/1022","23/4839",0.195858426981202,0.920698826812516,0.861472586491243,"790/1264/1909/1910/4638/4846/10267",7,1.63836206896552 +"WP3599","Transcription factor regulation in adipogenesis","6/1022","19/4839",0.196272918961637,0.920698826812516,0.861472586491243,"1052/2308/3569/2908/10891/6517",6,1.72804360993337 +"WP4288","MTHFR deficiency","6/1022","19/4839",0.196272918961637,0.920698826812516,0.861472586491243,"501/1786/1788/1789/2906/4524",6,1.72804360993337 +"WP1995","Effects of Nitric Oxide","2/1022","4/4839",0.198177520214758,0.920698826812516,0.861472586491243,"316/4846",2,3.74019607843137 +"WP2542","Sulindac Metabolic Pathway","2/1022","4/4839",0.198177520214758,0.920698826812516,0.861472586491243,"4482/253827",2,3.74019607843137 +"WP334","GPCRs, Class B Secretin-like","2/1022","4/4839",0.198177520214758,0.920698826812516,0.861472586491243,"5745/7434",2,3.74019607843137 +"WP4720","Eicosanoid metabolism via Cytochrome P450 Mono-Oxygenases (CYP) pathway","2/1022","4/4839",0.198177520214758,0.920698826812516,0.861472586491243,"2053/5465",2,3.74019607843137 +"WP176","Folate Metabolism","12/1022","44/4839",0.20300016766834,0.920698826812516,0.861472586491243,"191/6347/80308/2350/2618/2878/3569/4524/12/6472/6573/6649",12,1.40532178217822 +"WP410","Exercise-induced Circadian Regulation","12/1022","44/4839",0.20300016766834,0.920698826812516,0.861472586491243,"11335/7122/1408/50486/2674/687/5187/8864/5516/5813/11030/10381",12,1.40532178217822 +"WP1438","Influenza A virus infection","1/1022","1/4839",0.211200661293655,0.920698826812516,0.861472586491243,"596",1,Inf +"WP1600","Nicotine Metabolism","1/1022","1/4839",0.211200661293655,0.920698826812516,0.861472586491243,"316",1,Inf +"WP1603","Nicotine Activity on Chromaffin Cells","1/1022","1/4839",0.211200661293655,0.920698826812516,0.861472586491243,"775",1,Inf +"WP4400","FABP4 in ovarian cancer","1/1022","1/4839",0.211200661293655,0.920698826812516,0.861472586491243,"2167",1,Inf +"WP2525","Trans-sulfuration and one carbon metabolism","8/1022","28/4839",0.224525950160984,0.920698826812516,0.861472586491243,"191/1786/1788/1789/25902/4524/6472/7298",8,1.49783037475345 +"WP1455","Serotonin Transporter Activity","3/1022","8/4839",0.228117947120316,0.920698826812516,0.861472586491243,"3690/5516/7041",3,2.24455348380765 +"WP3875","ATR Signaling","3/1022","8/4839",0.228117947120316,0.920698826812516,0.861472586491243,"1111/5883/11073",3,2.24455348380765 +"WP4191","Caloric restriction and aging","3/1022","8/4839",0.228117947120316,0.920698826812516,0.861472586491243,"3479/10891/23411",3,2.24455348380765 +"WP4583","Biomarkers for urea cycle disorders","3/1022","8/4839",0.228117947120316,0.920698826812516,0.861472586491243,"2159/2593/162417",3,2.24455348380765 +"WP2572","Primary Focal Segmental Glomerulosclerosis FSGS","15/1022","58/4839",0.228867396275626,0.920698826812516,0.861472586491243,"375790/1028/1286/22943/2534/3611/3690/3913/4288/55742/5111/11346/7094/7414/7431",15,1.30736010715688 +"WP4657","22q11.2 Deletion Syndrome","15/1022","58/4839",0.228867396275626,0.920698826812516,0.861472586491243,"59/70/8318/7122/2260/9464/5308/5902/65078/6576/6517/6722/27037/7450/7625",15,1.30736010715688 +"WP1528","Physiological and Pathological Hypertrophy of the Heart","7/1022","24/4839",0.229413888363834,0.920698826812516,0.861472586491243,"817/2353/3572/3977/4776/5532/5579",7,1.54158215010142 +"WP3640","Imatinib and Chronic Myeloid Leukemia","6/1022","20/4839",0.233557704720861,0.920698826812516,0.861472586491243,"5243/25/3815/4609/5156/6502",6,1.60419010123735 +"WP3872","Regulation of Apoptosis by Parathyroid Hormone-related Protein","6/1022","20/4839",0.233557704720861,0.920698826812516,0.861472586491243,"596/83596/599/637/2932/4609",6,1.60419010123735 +"WP4538","Regulatory circuits of the STAT3 signaling pathway","17/1022","67/4839",0.235097418060392,0.920698826812516,0.861472586491243,"185/2690/3590/58985/3563/3570/3572/3717/3977/225689/5156/5579/5789/80854/9021/3925/7297",17,1.27440796019901 +"WP4658","Small cell lung cancer","22/1022","89/4839",0.235584492112176,0.920698826812516,0.861472586491243,"10000/596/637/330/898/9134/1017/1019/1028/1163/1164/1286/1288/1869/1870/4616/3908/3913/10319/4609/7185/7186",22,1.23134328358209 +"WP186","Homologous recombination","4/1022","12/4839",0.235794847415441,0.920698826812516,0.861472586491243,"675/5424/5888/25788",4,1.87082514734774 +"WP272","Blood Clotting Cascade","4/1022","12/4839",0.235794847415441,0.920698826812516,0.861472586491243,"2159/2161/2157/7450",4,1.87082514734774 +"WP4584","Biomarkers for pyrimidine metabolism disorders","4/1022","12/4839",0.235794847415441,0.920698826812516,0.861472586491243,"1152/80324/6241/7298",4,1.87082514734774 +"WP2011","SREBF and miR33 in cholesterol and lipid homeostasis","5/1022","16/4839",0.236219699000383,0.920698826812516,0.861472586491243,"2194/5465/10891/6319/23411",5,1.70108161258604 +"WP2878","PPAR Alpha Pathway","5/1022","16/4839",0.236219699000383,0.920698826812516,0.861472586491243,"34/983/1019/4609/5465",5,1.70108161258604 +"WP4304","Oligodendrocyte Specification and differentiation(including remyelination), leading to Myelin Components for CNS","5/1022","16/4839",0.236219699000383,0.920698826812516,0.861472586491243,"2920/2247/3479/5354/6663",5,1.70108161258604 +"WP734","Serotonin Receptor 4/6/7 and NR3C Signaling","5/1022","16/4839",0.236219699000383,0.920698826812516,0.861472586491243,"1958/2908/5906/9252/6722",5,1.70108161258604 +"WP2064","Neural Crest Differentiation","16/1022","64/4839",0.264602321898724,0.999930074063124,0.935607086842689,"2247/2260/2932/3066/9759/10014/10013/4286/4359/4487/4602/4609/5376/388/6663/6925",16,1.24884029158383 +"WP2374","Oncostatin M Signaling Pathway","16/1022","64/4839",0.264602321898724,0.999930074063124,0.935607086842689,"6347/1017/1958/2353/3572/3717/3726/3727/3977/4312/4322/5579/9021/6777/7078/7297",16,1.24884029158383 +"WP3584","MECP2 and Associated Rett Syndrome","13/1022","51/4839",0.268668191587185,0.999930074063124,0.935607086842689,"627/1052/1465/1869/2146/2247/2289/2571/2593/114787/3479/4204/4208",13,1.28128423139116 +"WP24","Peptide GPCRs","6/1022","21/4839",0.272789645024472,0.999930074063124,0.935607086842689,"185/623/624/1909/1910/6869",6,1.49685039370079 +"WP382","MAPK Signaling Pathway","45/1022","195/4839",0.272925856991294,0.999930074063124,0.935607086842689,"10000/408/627/775/8912/781/783/785/1843/1850/2256/2258/2247/2252/2260/2316/2318/2353/55970/3306/3727/120892/9020/1326/23542/4208/4609/4772/51701/3164/4893/4915/8605/5532/5533/5881/5906/10235/9252/6237/6722/3925/7043/7048/7186",45,1.12599795291709 +"WP727","Monoamine Transport","5/1022","17/4839",0.28064120420005,0.999930074063124,0.935607086842689,"995/114907/3690/5516/7041",5,1.55891510980007 +"WP136","Phase I biotransformations, non P450","2/1022","5/4839",0.285772930945712,0.999930074063124,0.935607086842689,"1066/2098",2,2.49281045751634 +"WP2276","Glial Cell Differentiation","2/1022","5/4839",0.285772930945712,0.999930074063124,0.935607086842689,"5354/11076",2,2.49281045751634 +"WP2874","Liver X Receptor Pathway","2/1022","5/4839",0.285772930945712,0.999930074063124,0.935607086842689,"2194/6319",2,2.49281045751634 +"WP58","Monoamine GPCRs","2/1022","5/4839",0.285772930945712,0.999930074063124,0.935607086842689,"150/154",2,2.49281045751634 +"WP3958","GPR40 Pathway","4/1022","13/4839",0.287586215235435,0.999930074063124,0.935607086842689,"5310/5331/5336/5334",4,1.66251910063305 +"WP4211","Transcriptional cascade regulating adipogenesis","4/1022","13/4839",0.287586215235435,0.999930074063124,0.935607086842689,"1052/1959/28999/10365",4,1.66251910063305 +"WP4493","Cells and Molecules involved in local acute inflammatory response ","4/1022","13/4839",0.287586215235435,0.999930074063124,0.935607086842689,"718/730/3569/6403",4,1.66251910063305 +"WP53","ID signaling pathway","4/1022","13/4839",0.287586215235435,0.999930074063124,0.935607086842689,"898/1017/3398/5933",4,1.66251910063305 +"WP4753","Nucleotide Excision Repair","11/1022","43/4839",0.288668808814214,0.999930074063124,0.935607086842689,"3978/5111/5424/5426/5427/5982/5983/5984/5985/6119/7507",11,1.28693743818002 +"WP1591","Heart Development","8/1022","30/4839",0.290225800257854,0.999930074063124,0.935607086842689,"2627/9464/4208/4772/4776/5308/6722/6910",8,1.36094674556213 +"WP4539","Synaptic signaling pathways associated with autism spectrum disorder","10/1022","39/4839",0.299745088293227,0.999930074063124,0.935607086842689,"10000/627/775/1978/2906/2932/4893/4915/5563/51422",10,1.29071827722502 +"WP4022","Pyrimidine metabolism","19/1022","79/4839",0.300328097507354,0.999930074063124,0.935607086842689,"790/1841/5167/953/4830/87178/23649/5424/5426/5427/5436/5437/5557/5558/6241/7083/7298/7371/54963",19,1.1861581920904 +"WP3298","Melatonin metabolism and effects","7/1022","26/4839",0.301387118348426,0.999930074063124,0.935607086842689,"1408/2308/2932/5187/8864/8863/23411",7,1.37858439201452 +"WP3965","Lipid Metabolism Pathway","7/1022","26/4839",0.301387118348426,0.999930074063124,0.935607086842689,"47/10000/2194/29923/5563/51422/5577",7,1.37858439201452 +"WP4204","Tumor suppressor activity of SMARCB1","7/1022","26/4839",0.301387118348426,0.999930074063124,0.935607086842689,"86/1019/2146/5928/6597/6598/6602",7,1.37858439201452 +"WP129","Matrix Metalloproteinases","6/1022","22/4839",0.313423162273861,0.999930074063124,0.935607086842689,"4312/4320/4321/4322/7078/7079",6,1.4029281496063 +"WP4483","Relationship between inflammation, COX-2 and EGFR","6/1022","22/4839",0.313423162273861,0.999930074063124,0.935607086842689,"10000/2099/4312/4893/5733/5734",6,1.4029281496063 +"WP2032","Human Thyroid Stimulating Hormone (TSH) signaling pathway","15/1022","62/4839",0.321510953260271,0.999930074063124,0.935607086842689,"108/898/1017/1019/1869/1958/2353/2775/54331/3717/4609/5144/5906/5909/8458",15,1.19482769549325 +"WP2267","Synaptic Vesicle Pathway","8/1022","31/4839",0.324706678082801,0.999930074063124,0.935607086842689,"477/6571/6581/291/81539/2054/6812/6844",8,1.3014321241746 +"WP4148","Splicing factor NOVA regulated synaptic proteins","8/1022","31/4839",0.324706678082801,0.999930074063124,0.935607086842689,"375790/57863/2037/3778/5332/5590/5909/2054",8,1.3014321241746 +"WP2882","Nuclear Receptors Meta-Pathway","50/1022","222/4839",0.325747953159628,0.999930074063124,0.935607086842689,"5243/5244/34/11214/330/10486/6347/983/1019/1028/1066/80315/1958/2042/2099/2194/2258/2289/2308/4616/2878/2949/1839/3082/3726/3727/8850/23764/4609/89795/2908/5142/5166/5465/10891/5997/6319/6515/6517/201266/55630/8884/6533/6649/10252/5552/2040/7048/7049/1831",50,1.09011627906977 +"WP167","Eicosanoid Synthesis","5/1022","18/4839",0.326479271134302,0.999930074063124,0.935607086842689,"4056/5320/5730/5740/5742",5,1.43862037667347 +"WP4286","Genotoxicity pathway","12/1022","49/4839",0.332768133185829,0.999930074063124,0.935607086842689,"59/7832/1052/1062/8161/144455/79733/3398/3708/1263/5734/29950",12,1.21380786727321 +"WP3414","Initiation of transcription and translation elongation at the HIV-1 LTR","7/1022","27/4839",0.338998676265558,0.999930074063124,0.935607086842689,"3066/9759/10014/4772/4776/5532/5533",7,1.30931034482759 +"WP3935","Leptin Insulin Overlap","4/1022","14/4839",0.340712611268609,0.999930074063124,0.935607086842689,"3717/3953/8835/9021",4,1.4958742632613 +"WP306","Focal Adhesion","39/1022","173/4839",0.349496348233832,0.999930074063124,0.935607086842689,"10000/596/330/857/894/1286/1288/1292/2316/2318/2534/2932/3082/3479/3611/3678/3679/8516/3680/3690/3908/3913/10319/10398/4638/55742/80310/5156/4660/5579/5881/5906/5649/6696/7094/7148/7414/7450/7791",39,1.09045565661013 +"WP2881","Estrogen Receptor Pathway","3/1022","10/4839",0.356189265397442,0.999930074063124,0.935607086842689,"2099/5166/5465",3,1.60241132763213 +"WP4535","Envelope proteins and their potential roles in EDMD physiopathology","10/1022","41/4839",0.361187936985075,0.999930074063124,0.935607086842689,"108/196883/111/115/1072/4893/6722/23345/7043/7112",10,1.20680861915084 +"WP2113","Type III interferon signaling","2/1022","6/4839",0.372163315856723,0.999930074063124,0.935607086842689,"6773/7297",2,1.86911764705882 +"WP3595","mir-124 predicted interactions with cell cycle and differentiation ","2/1022","6/4839",0.372163315856723,0.999930074063124,0.935607086842689,"5725/51804",2,1.86911764705882 +"WP3943","Robo4 and VEGF Signaling Pathways Crosstalk","2/1022","6/4839",0.372163315856723,0.999930074063124,0.935607086842689,"54538/9353",2,1.86911764705882 +"WP4186","Somatroph axis (GH) and its relationship to dietary restriction and aging","2/1022","6/4839",0.372163315856723,0.999930074063124,0.935607086842689,"2308/23411",2,1.86911764705882 +"WP3657","Hematopoietic Stem Cell Gene Regulation by GABP alpha/beta Complex","5/1022","19/4839",0.372981539767396,0.999930074063124,0.935607086842689,"596/1786/1788/1789/6597",5,1.33551060542211 +"WP4141","PI3K/AKT/mTOR - VitD3 Signalling","5/1022","19/4839",0.372981539767396,0.999930074063124,0.935607086842689,"2932/4609/5210/5563/6515",5,1.33551060542211 +"WP3611","Photodynamic therapy-induced AP-1 survival signaling.","11/1022","46/4839",0.375976615531742,0.999930074063124,0.935607086842689,"596/637/890/898/2252/2353/1839/3569/3726/5156/7186",11,1.17569591634874 +"WP28","Selenium Metabolism and Selenoproteins","7/1022","28/4839",0.377156251633749,0.999930074063124,0.935607086842689,"1390/2353/2878/5451/54938/8991/22928",7,1.24663382594417 +"WP4481","Resistin as a regulator of inflammation","7/1022","28/4839",0.377156251633749,0.999930074063124,0.935607086842689,"10000/3569/3708/5331/5332/84812/5336",7,1.24663382594417 +"WP2366","Butyrate-induced histone acetylation","1/1022","2/4839",0.377830037928192,0.999930074063124,0.935607086842689,"47",1,3.73751224289912 +"WP2645","Heroin metabolism","1/1022","2/4839",0.377830037928192,0.999930074063124,0.935607086842689,"1066",1,3.73751224289912 +"WP2826","Cocaine metabolism","1/1022","2/4839",0.377830037928192,0.999930074063124,0.935607086842689,"1066",1,3.73751224289912 +"WP2943","Hypoxia-mediated EMT and Stemness","1/1022","2/4839",0.377830037928192,0.999930074063124,0.935607086842689,"6935",1,3.73751224289912 +"WP4030","SCFA and skeletal muscle substrate metabolism","1/1022","2/4839",0.377830037928192,0.999930074063124,0.935607086842689,"6517",1,3.73751224289912 +"WP4284","Ultraconserved region 339 modulation of tumor suppressor microRNAs in cancer","1/1022","2/4839",0.377830037928192,0.999930074063124,0.935607086842689,"9134",1,3.73751224289912 +"WP2059","Alzheimers Disease","16/1022","69/4839",0.381749900747513,0.999930074063124,0.935607086842689,"6868/322/489/637/775/1020/2906/2932/3708/23385/5331/5332/5532/5533/6263/6622",16,1.12952473836228 +"WP3931","ESC Pluripotency Pathways","19/1022","83/4839",0.387246953331721,0.999930074063124,0.935607086842689,"10097/10000/2256/2258/2247/2252/2260/2353/2535/8322/8324/2932/3572/3977/5156/4092/4093/7472/7482",19,1.11083935692921 +"WP2291","Deregulation of Rab and Rab Effector Genes in Bladder Cancer","4/1022","15/4839",0.394062223247433,0.999930074063124,0.935607086842689,"25924/5873/94120/94122",4,1.35952848722986 +"WP3287","Overview of nanoparticle effects","4/1022","15/4839",0.394062223247433,0.999930074063124,0.935607086842689,"10000/596/3569/5742",4,1.35952848722986 +"WP4462","Platelet-mediated interactions with vascular and circulating cells","4/1022","15/4839",0.394062223247433,0.999930074063124,0.935607086842689,"6347/6401/6403/7043",4,1.35952848722986 +"WP1539","Angiogenesis","6/1022","24/4839",0.396750834891395,0.999930074063124,0.935607086842689,"284/2247/4846/5156/7010/7078",6,1.24639107611549 +"WP3613","Photodynamic therapy-induced unfolded protein response","6/1022","24/4839",0.396750834891395,0.999930074063124,0.935607086842689,"467/811/51726/7184/10130/23645",6,1.24639107611549 +"WP4298","Viral Acute Myocarditis","16/1022","70/4839",0.406170608451993,0.999930074063124,0.935607086842689,"25/596/637/835/857/1676/1677/1756/2534/2932/3569/3908/5881/6442/6443/6444",16,1.10831308445623 +"WP3850","Factors and pathways affecting insulin-like growth factor (IGF1)-Akt signaling","7/1022","29/4839",0.415474616467504,0.999930074063124,0.935607086842689,"114907/2932/3479/3488/3611/84557/10891",7,1.18965517241379 +"WP2813","Mammary gland development pathway - Embryonic development (Stage 1 of 4)","3/1022","11/4839",0.419796515080144,0.999930074063124,0.935607086842689,"4609/6422/9839",3,1.40174190382728 +"WP4792","Purine metabolism","3/1022","11/4839",0.419796515080144,0.999930074063124,0.935607086842689,"1716/3251/3704",3,1.40174190382728 +"WP2261","Signaling Pathways in Glioblastoma","18/1022","80/4839",0.423967332282552,0.999930074063124,0.935607086842689,"10000/672/675/894/898/1017/1019/1869/54206/2260/2308/2956/4893/5156/5336/5579/5590/10253",18,1.08581801824958 +"WP4540","Pathways Regulating Hippo Signaling","18/1022","80/4839",0.423967332282552,0.999930074063124,0.935607086842689,"64403/1003/2260/2774/3815/26524/4804/4915/5156/5331/5332/5563/51422/5577/5579/5590/7003/7010",18,1.08581801824958 +"WP4249","Hedgehog Signaling Pathway","8/1022","34/4839",0.430894803926012,0.999930074063124,0.935607086842689,"408/596/91653/894/1455/8452/8643/8405",8,1.15035654680625 +"WP3303","RAC1/PAK1/p38/MMP2 Pathway","14/1022","62/4839",0.438037685008647,0.999930074063124,0.935607086842689,"284/9068/332/1978/2308/4436/4609/4893/5888/6777/3925/7010/7075/10413",14,1.09056712962963 +"WP4008","NO/cGMP/PKG mediated Neuroprotection","6/1022","25/4839",0.438443772084916,0.999930074063124,0.935607086842689,"596/817/2906/4846/4881/5138",6,1.18048072938251 +"WP3940","One carbon metabolism and related pathways","9/1022","39/4839",0.444001129236894,0.999930074063124,0.935607086842689,"23743/1036/1788/2571/2878/4524/6472/6649/7298",9,1.12152023692004 +"WP299","Nuclear Receptors in Lipid Metabolism and Toxicity","4/1022","16/4839",0.44667639799645,0.999930074063124,0.935607086842689,"5243/5244/5465/5914",4,1.24590700720367 +"WP4595","Urea cycle and associated pathways","4/1022","16/4839",0.44667639799645,0.999930074063124,0.935607086842689,"162417/5831/10165/10166",4,1.24590700720367 +"WP4541","Hippo-Merlin Signaling Dysregulation","21/1022","95/4839",0.446750759963151,0.999930074063124,0.935607086842689,"64403/1003/2260/2305/3678/3679/8516/3680/3690/3815/26524/4609/4804/4893/4915/5156/5332/94274/5577/7003/7010",21,1.06114156114156 +"WP4754","IL-18 signaling pathway","48/1022","222/4839",0.453106236341607,0.999930074063124,0.935607086842689,"32/58/59/11096/321/467/596/637/274/330/7832/6347/890/9133/975/2920/1674/2023/2353/1112/2932/3068/26353/3569/3757/10365/84823/9208/4312/4322/4776/3164/51299/5579/5806/8480/22821/23623/9021/10418/6696/83931/3925/6869/7078/7185/10194/80328",48,1.03179211215747 +"WP3617","Photodynamic therapy-induced NF-kB survival signaling","7/1022","30/4839",0.453593821400876,0.999930074063124,0.935607086842689,"599/330/332/2920/3569/4312/6401",7,1.1376311844078 +"WP1531","Vitamin D Metabolism","2/1022","7/4839",0.453952648610461,0.999930074063124,0.935607086842689,"1593/1717",2,1.49490196078431 +"WP3672","LncRNA-mediated mechanisms of therapeutic resistance","2/1022","7/4839",0.453952648610461,0.999930074063124,0.935607086842689,"5243/55384",2,1.49490196078431 +"WP3963","Mevalonate pathway","2/1022","7/4839",0.453952648610461,0.999930074063124,0.935607086842689,"39/4598",2,1.49490196078431 +"WP4519","Cerebral Organic Acidurias, including diseases","2/1022","7/4839",0.453952648610461,0.999930074063124,0.935607086842689,"137872/501",2,1.49490196078431 +"WP399","Wnt Signaling Pathway and Pluripotency","19/1022","86/4839",0.454472351591721,0.999930074063124,0.935607086842689,"894/8061/2535/8322/8324/2932/120892/4609/85407/51701/5048/5516/5521/5579/5590/29127/7472/7482/10009",19,1.06025207958215 +"WP3646","Hepatitis C and Hepatocellular Carcinoma","10/1022","44/4839",0.45540496204186,0.999930074063124,0.935607086842689,"330/332/672/1870/2487/3569/3570/4312/4609/6241",10,1.09945361543827 +"WP4341","Non-genomic actions of 1,25 dihydroxyvitamin D3","13/1022","58/4839",0.455650588772585,0.999930074063124,0.935607086842689,"817/857/6347/3569/9636/4893/5331/5332/5336/5579/5590/6773/7297",13,1.07996916639137 +"WP455","GPCRs, Class A Rhodopsin-like","13/1022","58/4839",0.455650588772585,0.999930074063124,0.935607086842689,"150/154/185/623/624/1909/1910/8477/27198/9934/5733/5734/5737",13,1.07996916639137 +"WP2865","IL1 and megakaryocytes in obesity","5/1022","21/4839",0.465289434707419,0.999930074063124,0.935607086842689,"6347/2205/1839/114548/8991",5,1.16795722713864 +"WP4719","Eicosanoid metabolism via Cyclo Oxygenases (COX)","5/1022","21/4839",0.465289434707419,0.999930074063124,0.935607086842689,"8309/5730/5737/5740/5742",5,1.16795722713864 +"WP4225","Pyrimidine metabolism and related diseases","3/1022","12/4839",0.481130404301712,0.999930074063124,0.935607086842689,"790/6241/7298",3,1.2456656853124 +"WP3942","PPAR signaling pathway","10/1022","45/4839",0.486552568845093,0.999930074063124,0.935607086842689,"34/8309/1593/2167/2172/3611/4312/5465/6319/10580",10,1.06775832862789 +"WP3995","Prion disease pathway","7/1022","31/4839",0.491185904868649,0.999930074063124,0.935607086842689,"596/1879/2260/2534/7184/4208/4684",7,1.08994252873563 +"WP3967","miR-509-3p alteration of YAP1/ECM axis","4/1022","17/4839",0.497764149933803,0.999930074063124,0.935607086842689,"1909/10082/7003/10413",4,1.14976575487381 +"WP2853","Endoderm Differentiation","24/1022","112/4839",0.505795594256087,0.999930074063124,0.935607086842689,"57198/22943/1789/1847/2146/1112/2308/2627/3087/3251/9682/10459/22823/54892/51701/4830/2908/84295/6422/64321/83595/6925/9760/11169",24,1.0190380761523 +"WP3302","eIF5A regulation in response to inhibition of the nuclear export system","1/1022","3/4839",0.509287077671294,0.999930074063124,0.935607086842689,"7514",1,1.86826640548482 +"WP4342","Vitamins A and D - action mechanisms","1/1022","3/4839",0.509287077671294,0.999930074063124,0.935607086842689,"5914",1,1.86826640548482 +"WP550","Biogenic Amine Synthesis","1/1022","3/4839",0.509287077671294,0.999930074063124,0.935607086842689,"2571",1,1.86826640548482 +"WP733","Serotonin Receptor 2 and STAT3 Signaling","1/1022","3/4839",0.509287077671294,0.999930074063124,0.935607086842689,"3717",1,1.86826640548482 +"WP364","IL-6 signaling pathway","9/1022","41/4839",0.509627652138112,0.999930074063124,0.935607086842689,"2932/3569/3570/3572/3717/3726/51701/9021/7297",9,1.05086994076999 +"WP3878","ATM Signaling Network in Development and Disease ","9/1022","41/4839",0.509627652138112,0.999930074063124,0.935607086842689,"9212/699/983/1020/1111/11200/9759/3150/5591",9,1.05086994076999 +"WP2911","miRNA targets in ECM and membrane receptors","5/1022","22/4839",0.509955985423171,0.999930074063124,0.935607086842689,"1291/1292/3913/6383/7148",5,1.09896465961016 +"WP4320","The effect of progerin on the involved genes in Hutchinson-Gilford Progeria Syndrome","5/1022","22/4839",0.509955985423171,0.999930074063124,0.935607086842689,"11335/1869/3066/23028/5928",5,1.09896465961016 +"WP4357","NRF2-ARE regulation","5/1022","22/4839",0.509955985423171,0.999930074063124,0.935607086842689,"8452/2048/2534/2932/192111",5,1.09896465961016 +"WP465","Tryptophan metabolism","6/1022","27/4839",0.519721365903094,0.999930074063124,0.935607086842689,"38/217/316/23498/11185/4129",6,1.06749156355456 +"WP2034","Leptin signaling pathway","16/1022","75/4839",0.527975666140062,0.999930074063124,0.935607086842689,"32/1073/1978/2099/2308/2534/2932/3717/3953/4846/5140/5336/5563/8835/9021/6777",16,1.01304040165785 +"WP1423","Ganglio Sphingolipid Metabolism","2/1022","8/4839",0.52923088244051,0.999930074063124,0.935607086842689,"30815/6489",2,1.24542483660131 +"WP2007","Iron metabolism in placenta","2/1022","8/4839",0.52923088244051,0.999930074063124,0.935607086842689,"55240/7037",2,1.24542483660131 +"WP3585","Cytosine methylation","2/1022","8/4839",0.52923088244051,0.999930074063124,0.935607086842689,"1786/4204",2,1.24542483660131 +"WP561","Heme Biosynthesis","2/1022","8/4839",0.52923088244051,0.999930074063124,0.935607086842689,"1371/3145",2,1.24542483660131 +"WP3941","Oxidative Damage","8/1022","37/4839",0.535146493773912,0.999930074063124,0.935607086842689,"596/715/716/1028/5111/7133/7185/7186",8,1.03053798544515 +"WP4312","Rett syndrome causing genes","8/1022","37/4839",0.535146493773912,0.999930074063124,0.935607086842689,"2775/10014/10765/4204/4208/6597/6812/6925",8,1.03053798544515 +"WP4673","Genes involved in male infertility","18/1022","85/4839",0.538343473407803,0.999930074063124,0.935607086842689,"5243/3983/596/675/1191/2099/2775/222229/4524/340719/4846/143689/8787/6649/9319/7320/7516/7517",18,1.00344889100315 +"WP1434","Osteopontin Signaling","3/1022","13/4839",0.539193661021595,0.999930074063124,0.935607086842689,"3690/9020/6696",3,1.12080471050049 +"WP3301","MFAP5-mediated ovarian cancer cell motility and invasiveness","3/1022","13/4839",0.539193661021595,0.999930074063124,0.935607086842689,"3690/8076/6263",3,1.12080471050049 +"WP3853","ERK Pathway in Huntington's Disease","3/1022","13/4839",0.539193661021595,0.999930074063124,0.935607086842689,"627/4915/9252",3,1.12080471050049 +"WP4746","Thyroid hormones production and their peripheral downstream signalling effects regarding congenital hypothyroidism","14/1022","66/4839",0.541760028083866,0.999930074063124,0.935607086842689,"10000/2260/2308/2932/3690/23028/11343/4881/10891/63976/9728/6567/7067/8458",14,1.00560897435897 +"WP1742","TP53 Network","4/1022","18/4839",0.546702686733661,0.999930074063124,0.935607086842689,"25/596/637/4609",4,1.0673589671625 +"WP1544","MicroRNAs in cardiomyocyte hypertrophy","16/1022","76/4839",0.551661136773016,0.999930074063124,0.935607086842689,"817/2247/2535/2932/9759/10014/3479/3572/9020/4638/4776/5320/5532/5579/5592/1827",16,0.995891318754142 +"WP3668","Hypothesized Pathways in Pathogenesis of Cardiovascular Disease","5/1022","23/4839",0.553022481857523,0.999930074063124,0.935607086842689,"185/2201/2316/7048/7049",5,1.03763793291817 +"WP3929","Chemokine signaling pathway","26/1022","124/4839",0.5530567389186,0.999930074063124,0.935607086842689,"108/196883/111/115/10000/408/6366/6376/6387/9844/2791/55970/54331/2788/2869/2932/3717/4893/5331/5332/5579/5590/5906/10235/6773/6777",26,0.990636013441521 +"WP4561","Cell migration and invasion through p75NTR","6/1022","28/4839",0.558602760703824,0.999930074063124,0.935607086842689,"10000/627/1944/1945/4804/4915",6,1.01870078740157 +"WP4756","Renin Angiotensin Aldosterone System (RAAS)","6/1022","28/4839",0.558602760703824,0.999930074063124,0.935607086842689,"185/817/90993/9586/1511/3708",6,1.01870078740157 +"WP363","Wnt Signaling Pathway (Netpath)","10/1022","48/4839",0.576782391898208,0.999930074063124,0.935607086842689,"2932/4609/51701/8395/5579/4919/4920/6929/6925/7010",10,0.982681506136884 +"WP3888","VEGFA-VEGFR2 Signaling Pathway","84/1022","403/4839",0.577632731826315,0.999930074063124,0.935607086842689,"25/32/52/9510/56999/154/81575/22899/51309/596/274/332/781/811/857/6347/10574/1003/1072/84952/79094/22820/1397/1465/22943/11080/1847/1958/1960/2048/2078/2308/6624/2534/2932/1839/9759/10014/10525/3690/9365/9079/3984/4208/4343/4629/91624/4772/4846/3164/4929/8013/55872/57326/10130/5331/5496/5563/5579/5590/5592/5717/326624/5906/1827/10231/57381/9252/1901/6386/23753/6401/114789/6546/6722/6747/10963/6886/7111/8718/7148/7170/7220/7414",84,0.981986618630983 +"WP2857","Mesodermal Commitment Pathway","24/1022","116/4839",0.583056439508221,0.999930074063124,0.935607086842689,"84159/57198/22943/1789/2260/8322/2627/3251/3624/3717/9314/4211/22823/54892/51701/84295/5308/64321/6722/6925/7003/9760/11169/10413",24,0.973686503441666 +"WP3580","Methionine De Novo and Salvage Pathway","4/1022","19/4839",0.593028325924665,0.999930074063124,0.935607086842689,"191/4482/253827/4953",4,0.995939751146038 +"WP197","Cholesterol Biosynthesis Pathway","3/1022","14/4839",0.593324856408773,0.999930074063124,0.935607086842689,"1717/4598/6713",3,1.01864573110893 +"WP3969","H19 action Rb-E2F1 signaling and CDK-Beta-catenin activity","3/1022","14/4839",0.593324856408773,0.999930074063124,0.935607086842689,"1019/1869/6659",3,1.01864573110893 +"WP4558","Overview of interferons-mediated signaling pathway","3/1022","14/4839",0.593324856408773,0.999930074063124,0.935607086842689,"3717/6773/7297",3,1.01864573110893 +"WP530","Cytokines and Inflammatory Response","3/1022","14/4839",0.593324856408773,0.999930074063124,0.935607086842689,"1440/2920/3569",3,1.01864573110893 +"WP26","Signal Transduction of S1P Receptor","5/1022","24/4839",0.594146599480189,0.999930074063124,0.935607086842689,"10000/5331/29127/1901/9294",5,0.982766651141127 +"WP3972","PDGFR-beta pathway","6/1022","29/4839",0.595940537461125,0.999930074063124,0.935607086842689,"5610/2353/3717/5579/6722/6777",6,0.97415268743581 +"WP2436","Dopamine metabolism","2/1022","9/4839",0.597098605568243,0.999930074063124,0.935607086842689,"4129/5516",2,1.0672268907563 +"WP3930","EDA Signalling in Hair Follicle Development","2/1022","9/4839",0.597098605568243,0.999930074063124,0.935607086842689,"22943/128178",2,1.0672268907563 +"WP4292","Methionine metabolism leading to Sulphur Amino Acids and related disorders","2/1022","9/4839",0.597098605568243,0.999930074063124,0.935607086842689,"191/1036",2,1.0672268907563 +"WP4290","Metabolic reprogramming in colon cancer","8/1022","39/4839",0.600413887507652,0.999930074063124,0.935607086842689,"47/2023/2194/2618/10606/5471/5831/6472",8,0.963542660813132 +"WP51","Regulation of Actin Cytoskeleton","24/1022","117/4839",0.601698390294853,0.999930074063124,0.935607086842689,"9459/623/624/1072/1073/26999/81624/2256/2258/2247/2252/2260/28964/55970/2934/3984/4638/4893/5156/5305/8395/5881/6237/7414",24,0.962958174413343 +"WP1604","Codeine and Morphine Metabolism","1/1022","4/4839",0.61299026349014,0.999930074063124,0.935607086842689,"5243",1,1.24518445968005 +"WP2289","Drug Induction of Bile Acid Pathway","1/1022","4/4839",0.61299026349014,0.999930074063124,0.935607086842689,"5243",1,1.24518445968005 +"WP3924","Hfe effect on hepcidin production","1/1022","4/4839",0.61299026349014,0.999930074063124,0.935607086842689,"4092",1,1.24518445968005 +"WP4228","Vitamin B6-dependent and responsive disorders","1/1022","4/4839",0.61299026349014,0.999930074063124,0.935607086842689,"501",1,1.24518445968005 +"WP4399","MicroRNA network associated with chronic lymphocytic leukemia","1/1022","4/4839",0.61299026349014,0.999930074063124,0.935607086842689,"596",1,1.24518445968005 +"WP4524","The alternative pathway of fetal androgen synthesis","1/1022","4/4839",0.61299026349014,0.999930074063124,0.935607086842689,"8630",1,1.24518445968005 +"WP2036","TNF related weak inducer of apoptosis (TWEAK) Signaling Pathway","8/1022","40/4839",0.631256528279167,0.999930074063124,0.935607086842689,"330/6347/2932/3569/9020/8742/7185/7186",8,0.93318540433925 +"WP2332","Interleukin-11 Signaling Pathway","8/1022","40/4839",0.631256528279167,0.999930074063124,0.935607086842689,"596/332/2534/3590/3572/3717/9021/7297",8,0.93318540433925 +"WP2586","Aryl Hydrocarbon Receptor Netpath","8/1022","40/4839",0.631256528279167,0.999930074063124,0.935607086842689,"1017/1869/2099/1316/4609/135112/4893/84722",8,0.93318540433925 +"WP1533","Vitamin B12 Metabolism","6/1022","30/4839",0.631527216476187,0.999930074063124,0.935607086842689,"6347/3569/4524/12/6472/6649",6,0.933316929133858 +"WP3844","PI3K-AKT-mTOR signaling pathway and therapeutic opportunities","6/1022","30/4839",0.631527216476187,0.999930074063124,0.935607086842689,"1978/2308/2932/4846/4893/7942",6,0.933316929133858 +"WP1424","Globo Sphingolipid Metabolism","4/1022","20/4839",0.636421369543438,0.999930074063124,0.935607086842689,"256435/27090/30815/6489",4,0.933447937131631 +"WP262","EBV LMP1 signaling","4/1022","20/4839",0.636421369543438,0.999930074063124,0.935607086842689,"9020/4215/9260/7185",4,0.933447937131631 +"WP357","Fatty Acid Biosynthesis","4/1022","20/4839",0.636421369543438,0.999930074063124,0.935607086842689,"32/47/2194/6319",4,0.933447937131631 +"WP254","Apoptosis","16/1022","80/4839",0.64167988935281,0.999930074063124,0.935607086842689,"596/599/637/330/332/835/1676/1677/3070/3479/3663/4609/7133/8718/7185/7186",16,0.93265407554672 +"WP732","Serotonin Receptor 2 and ELK-SRF/GATA4 signaling","3/1022","15/4839",0.643140514699108,0.999930074063124,0.935607086842689,"3708/4893/6722",3,0.93351324828263 +"WP2333","Trans-sulfuration pathway","2/1022","10/4839",0.657325940610943,0.999930074063124,0.935607086842689,"191/1786",2,0.933578431372549 +"WP3630","NAD metabolism, sirtuins and aging","2/1022","10/4839",0.657325940610943,0.999930074063124,0.935607086842689,"2308/23411",2,0.933578431372549 +"WP3892","Development of pulmonary dendritic cells and macrophage subsets","2/1022","10/4839",0.657325940610943,0.999930074063124,0.935607086842689,"3398/6925",2,0.933578431372549 +"WP3971","Role of Osx and miRNAs in tooth development","2/1022","10/4839",0.657325940610943,0.999930074063124,0.935607086842689,"22943/9314",2,0.933578431372549 +"WP3651","Pathways Affected in Adenoid Cystic Carcinoma","11/1022","56/4839",0.659389444502175,0.999930074063124,0.935607086842689,"84159/672/1111/11200/93986/9863/4602/4609/4781/5591/29128",11,0.91201230904495 +"WP560","TGF-beta Receptor Signaling","9/1022","46/4839",0.659799833104285,0.999930074063124,0.935607086842689,"2353/3624/4092/4093/6696/7048/7049/9839/23090",9,0.907659881006377 +"WP4718","Cholesterol metabolism (includes both Bloch and Kandutsch-Russell pathways)","8/1022","41/4839",0.660742316434575,0.999930074063124,0.935607086842689,"9023/1593/1717/10682/2194/4598/6319/6713",8,0.904667981591059 +"WP2371","Parkinsons Disease Pathway","6/1022","31/4839",0.665209131261997,0.999930074063124,0.935607086842689,"835/898/9134/120892/6622/23208",6,0.895748031496063 +"WP3527","Preimplantation Embryo","6/1022","31/4839",0.665209131261997,0.999930074063124,0.935607086842689,"1958/2354/9314/4306/6597/7538",6,0.895748031496063 +"WP619","Type II interferon signaling (IFNG)","6/1022","31/4839",0.665209131261997,0.999930074063124,0.935607086842689,"5610/2537/9636/3717/9021/6773",6,0.895748031496063 +"WP4262","Breast cancer pathway","24/1022","121/4839",0.672534826004334,0.999930074063124,0.935607086842689,"10000/672/675/1019/1457/1869/1870/2099/2247/2252/2260/2353/2535/8324/4616/2932/3479/3815/4609/4893/5241/5888/7472/7482",24,0.922256884903828 +"WP4482","Vitamin D in inflammatory diseases","4/1022","21/4839",0.676687707151914,0.999930074063124,0.935607086842689,"1843/3569/4772/2908",4,0.878308101236565 +"WP138","Androgen receptor signaling pathway","16/1022","82/4839",0.683077882553455,0.999930074063124,0.935607086842689,"672/811/857/898/11034/2288/2316/2308/2932/8850/23028/5883/5901/388/23411/7041",16,0.903909874088801 +"WP107","Translation Factors","9/1022","47/4839",0.68642269962721,0.999930074063124,0.935607086842689,"1915/1933/1936/27102/5610/1975/1978/1979/8637",9,0.883540291993557 +"WP2916","Interactome of polycomb repressive complex 2 (PRC2) ","3/1022","16/4839",0.688478387784337,0.999930074063124,0.935607086842689,"2146/22823/5928",3,0.86147807050653 +"WP3664","Regulation of Wnt/B-catenin Signaling by Small Molecule Compounds","3/1022","16/4839",0.688478387784337,0.999930074063124,0.935607086842689,"8324/2932/6925",3,0.86147807050653 +"WP3927","BMP Signaling Pathway in Eyelid Development","3/1022","16/4839",0.688478387784337,0.999930074063124,0.935607086842689,"3625/5308/6422",3,0.86147807050653 +"WP4331","Neovascularisation processes","7/1022","37/4839",0.692135111733692,0.999930074063124,0.935607086842689,"94/284/6387/2048/3815/4093/7043",7,0.870574712643678 +"WP2805","exRNA mechanism of action and biogenesis","1/1022","5/4839",0.694794596626247,0.999930074063124,0.935607086842689,"57510",1,0.933643486777669 +"WP311","Synthesis and Degradation of Ketone Bodies","1/1022","5/4839",0.694794596626247,0.999930074063124,0.935607086842689,"38",1,0.933643486777669 +"WP3596","miR-517 relationship with ARCN1 and USP1","1/1022","5/4839",0.694794596626247,0.999930074063124,0.935607086842689,"3398",1,0.933643486777669 +"WP4147","PTF1A related regulatory pathway","1/1022","5/4839",0.694794596626247,0.999930074063124,0.935607086842689,"8850",1,0.933643486777669 +"WP4518","Gamma-Glutamyl Cycle for the biosynthesis and degradation of glutathione, including diseases","1/1022","5/4839",0.694794596626247,0.999930074063124,0.935607086842689,"79017",1,0.933643486777669 +"WP678","Arachidonate Epoxygenase / Epoxide Hydrolase","1/1022","5/4839",0.694794596626247,0.999930074063124,0.935607086842689,"2053",1,0.933643486777669 +"WP2870","Extracellular vesicle-mediated signaling in recipient cells","5/1022","27/4839",0.703691151331918,0.999930074063124,0.935607086842689,"3082/4893/7043/7048/7049",5,0.848082595870207 +"WP4150","Wnt Signaling in Kidney Disease","5/1022","27/4839",0.703691151331918,0.999930074063124,0.935607086842689,"2535/8322/8324/7472/7482",5,0.848082595870207 +"WP2380","Brain-Derived Neurotrophic Factor (BDNF) signaling pathway","24/1022","123/4839",0.705339946522517,0.999930074063124,0.935607086842689,"32/6868/627/1020/1072/1457/1808/1958/1959/1978/2353/2534/2932/3717/4208/4684/4776/4804/4915/5563/5906/9252/6696/6777",24,0.90313961255845 +"WP4239","Epithelial to mesenchymal transition in colorectal cancer","25/1022","128/4839",0.706030484524258,0.999930074063124,0.935607086842689,"10000/5010/7122/1286/1288/2146/2305/2535/8322/8324/2932/3398/3678/26524/4209/5310/5928/7043/7048/117581/7472/7482/7483/6935/9839",25,0.904168817131005 +"WP2290","RalA downstream regulated genes","2/1022","11/4839",0.710110257395565,0.999930074063124,0.935607086842689,"4893/5881",2,0.82962962962963 +"WP4495","IL-10 Anti-inflammatory Signaling Pathway ","2/1022","11/4839",0.710110257395565,0.999930074063124,0.935607086842689,"3569/6773",2,0.82962962962963 +"WP4553","FBXL10 enhancement of MAP/ERK signaling in diffuse large B-cell lymphoma","2/1022","11/4839",0.710110257395565,0.999930074063124,0.935607086842689,"2146/84759",2,0.82962962962963 +"WP4629","Computational Model of Aerobic Glycolysis","2/1022","11/4839",0.710110257395565,0.999930074063124,0.935607086842689,"2023/7167",2,0.82962962962963 +"WP2035","Follicle Stimulating Hormone (FSH) signaling pathway","4/1022","22/4839",0.713739200869411,0.999930074063124,0.935607086842689,"374/627/1978/2308",4,0.829294913774285 +"WP716","Vitamin A and Carotenoid Metabolism","4/1022","22/4839",0.713739200869411,0.999930074063124,0.935607086842689,"83875/5914/5947/116362",4,0.829294913774285 +"WP127","IL-5 Signaling Pathway","7/1022","38/4839",0.720091281028044,0.999930074063124,0.935607086842689,"596/695/2353/2932/3717/4609/6777",7,0.842269187986652 +"WP2828","Bladder Cancer","7/1022","38/4839",0.720091281028044,0.999930074063124,0.935607086842689,"1019/1869/1839/4312/4609/4893/9252",7,0.842269187986652 +"WP2875","Constitutive Androstane Receptor Pathway","3/1022","17/4839",0.729345724466594,0.999930074063124,0.935607086842689,"5243/2308/10891",3,0.79973363241273 +"WP3645","NAD+ biosynthetic pathways","3/1022","17/4839",0.729345724466594,0.999930074063124,0.935607086842689,"683/10038/23411",3,0.79973363241273 +"WP3670","Simplified Interaction Map Between LOXL4 and Oxidative Stress Pathway","3/1022","17/4839",0.729345724466594,0.999930074063124,0.935607086842689,"2252/5310/23411",3,0.79973363241273 +"WP4747","Netrin-UNC5B signaling Pathway","8/1022","44/4839",0.740317238416276,0.999930074063124,0.935607086842689,"6347/1003/2534/9423/56963/54538/6401/10413",8,0.828621520929213 +"WP12","Osteoclast Signaling","2/1022","12/4839",0.755906228014336,0.999930074063124,0.935607086842689,"3690/6696",2,0.746470588235294 +"WP3849","MAPK and NFkB Signalling Pathways Inhibited by Yersinia YopJ","2/1022","12/4839",0.755906228014336,0.999930074063124,0.935607086842689,"9020/6237",2,0.746470588235294 +"WP4724","Omega-9 FA synthesis","2/1022","12/4839",0.755906228014336,0.999930074063124,0.935607086842689,"2194/6319",2,0.746470588235294 +"WP15","Selenium Micronutrient Network","9/1022","50/4839",0.758229156843588,0.999930074063124,0.935607086842689,"6347/80308/2878/3569/4524/5742/22928/12/6649",9,0.818240916861291 +"WP2249","Metastatic brain tumor","1/1022","6/4839",0.759320852780151,0.999930074063124,0.935607086842689,"4609",1,0.746718903036239 +"WP2456","HIF1A and PPARG regulation of glycolysis","1/1022","6/4839",0.759320852780151,0.999930074063124,0.935607086842689,"7167",1,0.746718903036239 +"WP2485","NAD Biosynthesis II (from tryptophan)","1/1022","6/4839",0.759320852780151,0.999930074063124,0.935607086842689,"23498",1,0.746718903036239 +"WP3655","Hypothetical Craniofacial Development Pathway","1/1022","6/4839",0.759320852780151,0.999930074063124,0.935607086842689,"7043",1,0.746718903036239 +"WP4216","Chromosomal and microsatellite instability in colorectal cancer ","13/1022","71/4839",0.763504992842297,0.999930074063124,0.935607086842689,"10000/596/332/2353/4616/2932/4436/2956/4609/9423/5881/7043/7048",13,0.83501930897782 +"WP2203","Thymic Stromal LymphoPoietin (TSLP) Signaling Pathway","8/1022","45/4839",0.763755951174917,0.999930074063124,0.935607086842689,"695/1978/2534/3569/3717/4609/6777/85480",8,0.806013113705421 +"WP408","Oxidative Stress","5/1022","29/4839",0.764251182556945,0.999930074063124,0.935607086842689,"2353/2878/3726/4784/6649",5,0.776999344477221 +"WP2876","Pregnane X Receptor pathway","3/1022","18/4839",0.765874332013181,0.999930074063124,0.935607086842689,"5243/2308/10891",3,0.746221786064769 +"WP404","Nucleotide Metabolism","3/1022","18/4839",0.765874332013181,0.999930074063124,0.935607086842689,"3251/5424/6241",3,0.746221786064769 +"WP4301","Inhibition of exosome biogenesis and secretion by Manumycin A in CRPC cells","3/1022","18/4839",0.765874332013181,0.999930074063124,0.935607086842689,"4893/5873/6237",3,0.746221786064769 +"WP4533","Transcription co-factors SKI and SKIL protein partners","3/1022","18/4839",0.765874332013181,0.999930074063124,0.935607086842689,"26524/4204/7003",3,0.746221786064769 +"WP268","Notch Signaling","7/1022","40/4839",0.77066765868094,0.999930074063124,0.935607086842689,"6868/151636/3066/2648/8850/4242/23385",7,0.790804597701149 +"WP314","Fas Ligand (FasL) pathway and Stress induction of Heat Shock Proteins (HSP) regulation","7/1022","40/4839",0.77066765868094,0.999930074063124,0.935607086842689,"58/596/1676/1677/4001/84823/5591",7,0.790804597701149 +"WP185","Integrin-mediated Cell Adhesion","16/1022","87/4839",0.773755263751992,0.999930074063124,0.935607086842689,"10000/857/2534/3611/3678/3679/8516/3680/3690/5881/5906/10580/7094/7145/7414/7791",16,0.839134208831518 +"WP1403","AMP-activated Protein Kinase (AMPK) Signaling","10/1022","56/4839",0.774278860742701,0.999930074063124,0.935607086842689,"32/890/891/1978/2194/3953/133522/5563/51422/6517",10,0.810061866300052 +"WP3529","Zinc homeostasis","4/1022","24/4839",0.77825983963447,0.999930074063124,0.935607086842689,"4499/55676/201266/55630",4,0.745972495088409 +"WP4767","FGFR3 signalling in chondrocyte proliferation and terminal differentiation","4/1022","24/4839",0.77825983963447,0.999930074063124,0.935607086842689,"4882/5745/5933/7067",4,0.745972495088409 +"WP366","TGF-beta Signaling Pathway","24/1022","128/4839",0.778583806473659,0.999930074063124,0.935607086842689,"467/857/9133/983/2353/2354/3690/3726/3727/7071/1316/4208/4312/4321/4609/5933/4092/7027/7041/7048/7049/10413/6935/9839",24,0.858563280406968 +"WP2795","Cardiac Hypertrophic Response","9/1022","51/4839",0.779407731793952,0.999930074063124,0.935607086842689,"817/2247/2932/9759/10014/3479/9020/5320/5592",9,0.798547454519814 +"WP524","G13 Signaling Pathway","6/1022","35/4839",0.779438941079249,0.999930074063124,0.935607086842689,"1072/1073/11113/3984/5305/6242",6,0.771382025522672 +"WP2328","Allograft Rejection","11/1022","62/4839",0.78878849901806,0.999930074063124,0.935607086842689,"5243/185/23743/718/730/6366/6387/120892/5156/5590/7431",11,0.803436706037509 +"WP2369","Histone Modifications","5/1022","30/4839",0.790795975773096,0.999930074063124,0.935607086842689,"2146/26040/80854/9869/56950",5,0.745722713864307 +"WP2447","Amyotrophic lateral sclerosis (ALS)","5/1022","30/4839",0.790795975773096,0.999930074063124,0.935607086842689,"596/637/1471/5532/5533",5,0.745722713864307 +"WP49","IL-2 Signaling Pathway","7/1022","41/4839",0.793299346790486,0.999930074063124,0.935607086842689,"596/894/2353/2534/4609/9021/6777",7,0.767342799188641 +"WP4504","Cysteine and methionine catabolism","2/1022","13/4839",0.795308512922107,0.999930074063124,0.935607086842689,"191/1036",2,0.67843137254902 +"WP4705","Pathways of nucleic acid metabolism and innate immune sensing","2/1022","13/4839",0.795308512922107,0.999930074063124,0.935607086842689,"103/10535",2,0.67843137254902 +"WP585","Interferon type I signaling pathways","9/1022","52/4839",0.799212112621598,0.999930074063124,0.935607086842689,"1975/1978/2534/27250/5906/9252/9021/6773/7297",9,0.779769967170963 +"WP4565","Neural Crest Cell Migration in Cancer","6/1022","36/4839",0.802839816817109,0.999930074063124,0.935607086842689,"10000/627/2048/2353/4804/4915",6,0.745472440944882 +"WP205","IL-7 Signaling Pathway","4/1022","25/4839",0.80591460788313,0.999930074063124,0.935607086842689,"2534/2932/4609/6777",4,0.710262887080176 +"WP106","Alanine and aspartate metabolism","1/1022","7/4839",0.8102155534751,0.999930074063124,0.935607086842689,"2571",1,0.622102513875286 +"WP229","Irinotecan Pathway","1/1022","7/4839",0.8102155534751,0.999930074063124,0.935607086842689,"1066",1,0.622102513875286 +"WP4236","Disorders of the Krebs cycle","1/1022","7/4839",0.8102155534751,0.999930074063124,0.935607086842689,"55526",1,0.622102513875286 +"WP4507","Molybdenum cofactor (Moco) biosynthesis","1/1022","7/4839",0.8102155534751,0.999930074063124,0.935607086842689,"316",1,0.622102513875286 +"WP704","Methylation Pathways","1/1022","7/4839",0.8102155534751,0.999930074063124,0.935607086842689,"11185",1,0.622102513875286 +"WP4542","Overview of leukocyte-intrinsic Hippo pathway functions","5/1022","31/4839",0.814947292025231,0.999930074063124,0.935607086842689,"2308/26524/5906/7003/10413",5,0.716851977913925 +"WP4721","Eicosanoid metabolism via Lipo Oxygenases (LOX)","3/1022","20/4839",0.82684676790972,0.999930074063124,0.935607086842689,"8309/4056/5465",3,0.658084627374011 +"WP4725","Sphingolipid Metabolism (general overview)","3/1022","20/4839",0.82684676790972,0.999930074063124,0.935607086842689,"29956/166929/6609",3,0.658084627374011 +"WP304","Kit receptor signaling pathway","10/1022","59/4839",0.828430322217722,0.999930074063124,0.935607086842689,"596/695/2353/2534/3717/3726/3815/4286/5579/6777",10,0.759861256755667 +"WP1584","Type II diabetes mellitus","2/1022","14/4839",0.828972455674329,0.999930074063124,0.935607086842689,"5590/6517",2,0.621732026143791 +"WP1946","Cori Cycle","2/1022","14/4839",0.828972455674329,0.999930074063124,0.935607086842689,"6517/7167",2,0.621732026143791 +"WP3644","NAD+ metabolism","2/1022","14/4839",0.828972455674329,0.999930074063124,0.935607086842689,"4907/23411",2,0.621732026143791 +"WP2884","NRF2 pathway","17/1022","96/4839",0.829421211575612,0.999930074063124,0.935607086842689,"1066/1958/2042/2258/2878/2949/1839/3082/23764/6515/6517/201266/55630/8884/6533/6649/7048",17,0.800377857547705 +"WP3981","miRNA regulation of prostate cancer signaling pathways","5/1022","32/4839",0.836811213554681,0.999930074063124,0.935607086842689,"10000/596/90993/2308/2932",5,0.690119814996904 +"WP673","ErbB Signaling Pathway","14/1022","81/4839",0.839063333601451,0.999930074063124,0.935607086842689,"25/10000/374/817/1978/2308/2932/1839/4609/4893/9542/5336/5579/6777",14,0.777363184079602 +"WP1589","Folate-Alcohol and Cancer Pathway Hypotheses","1/1022","8/4839",0.850356220765755,0.999930074063124,0.935607086842689,"4524",1,0.533090807331748 +"WP288","NLR Proteins","1/1022","8/4839",0.850356220765755,0.999930074063124,0.935607086842689,"2048",1,0.533090807331748 +"WP3634","Insulin signalling in human adipocytes (normal condition)","1/1022","8/4839",0.850356220765755,0.999930074063124,0.935607086842689,"6517",1,0.533090807331748 +"WP3635","Insulin signalling in human adipocytes (diabetic condition)","1/1022","8/4839",0.850356220765755,0.999930074063124,0.935607086842689,"6517",1,0.533090807331748 +"WP3871","Valproic acid pathway","1/1022","8/4839",0.850356220765755,0.999930074063124,0.935607086842689,"36",1,0.533090807331748 +"WP3934","Leptin and adiponectin","1/1022","8/4839",0.850356220765755,0.999930074063124,0.935607086842689,"3953",1,0.533090807331748 +"WP4480","Role of Altered Glycolysation of MUC1 in Tumour Microenvironment","1/1022","8/4839",0.850356220765755,0.999930074063124,0.935607086842689,"3569",1,0.533090807331748 +"WP4742","Ketogenesis and Ketolysis","1/1022","8/4839",0.850356220765755,0.999930074063124,0.935607086842689,"38",1,0.533090807331748 +"WP286","IL-3 Signaling Pathway","7/1022","44/4839",0.851044950413995,0.999930074063124,0.935607086842689,"596/969/2353/2534/3563/3717/6777",7,0.704566635601118 +"WP2509","Nanoparticle triggered autophagic cell death","3/1022","21/4839",0.851873278036022,0.999930074063124,0.935607086842689,"596/10036/84557",3,0.621360811252862 +"WP4726","Sphingolipid Metabolism (integrated pathway)","3/1022","21/4839",0.851873278036022,0.999930074063124,0.935607086842689,"29956/166929/6609",3,0.621360811252862 +"WP712","Estrogen signaling pathway","3/1022","21/4839",0.851873278036022,0.999930074063124,0.935607086842689,"596/2099/2353",3,0.621360811252862 +"WP2112","IL17 signaling pathway","4/1022","27/4839",0.852782578619521,0.999930074063124,0.935607086842689,"1052/2932/3717/9020",4,0.648159220978902 +"WP437","EGF/EGFR Signaling Pathway","28/1022","155/4839",0.853072181335939,0.999930074063124,0.935607086842689,"25/6790/857/1072/1869/1978/54206/2353/2354/2308/3717/3727/4215/4208/4209/4605/4846/5111/5579/5590/5906/6196/9252/10253/10617/6777/3925/6812",28,0.81845403127426 +"WP3614","Photodynamic therapy-induced HIF-1 survival signaling","5/1022","33/4839",0.856512069472329,0.999930074063124,0.935607086842689,"284/637/332/6515/7043",5,0.665297092288243 +"WP400","p38 MAPK Signaling Pathway","5/1022","33/4839",0.856512069472329,0.999930074063124,0.935607086842689,"3150/4209/4609/9252/7186",5,0.665297092288243 +"WP422","MAPK Cascade","5/1022","33/4839",0.856512069472329,0.999930074063124,0.935607086842689,"4215/4893/5331/22821/6237",5,0.665297092288243 +"WP4564","Neural Crest Cell Migration during Development","5/1022","33/4839",0.856512069472329,0.999930074063124,0.935607086842689,"10000/627/2048/2353/4804",5,0.665297092288243 +"WP4758","Nephrotic syndrome","5/1022","33/4839",0.856512069472329,0.999930074063124,0.935607086842689,"54443/83478/1286/3913/11346",5,0.665297092288243 +"WP615","Senescence and Autophagy in Cancer","16/1022","93/4839",0.856950684897775,0.999930074063124,0.935607086842689,"596/1869/23710/2932/2934/3479/3488/3569/3570/3572/3624/3663/84557/81631/5111/55630",16,0.77250781028117 +"WP4142","Metabolism of Spingolipids in ER and Golgi apparatus","2/1022","15/4839",0.857561985055132,0.999930074063124,0.935607086842689,"166929/256435",2,0.573755656108597 +"WP430","Statin Pathway","2/1022","15/4839",0.857561985055132,0.999930074063124,0.935607086842689,"341/6713",2,0.573755656108597 +"WP2864","Apoptosis-related network due to altered Notch3 in ovarian cancer","8/1022","50/4839",0.858253018221591,0.999930074063124,0.935607086842689,"25/332/3070/3727/4092/9021/7185/7431",8,0.709119939889171 +"WP231","TNF alpha Signaling Pathway","15/1022","88/4839",0.860413949541904,0.999930074063124,0.935607086842689,"637/330/6347/1457/3569/9020/4215/1326/4893/5347/5590/6401/7133/7185/7186",15,0.763967297411272 +"WP4566","Translation inhibitors in chronically activated PDGFRA cells","7/1022","45/4839",0.867124502905404,0.999930074063124,0.935607086842689,"10000/1457/1975/1978/27250/6196/9252",7,0.685843920145191 +"WP2643","Nanoparticle-mediated activation of receptor signaling","4/1022","28/4839",0.872374324086727,0.999930074063124,0.935607086842689,"10000/374/4893/7094",4,0.620988867059594 +"WP4223","Ras Signaling","25/1022","142/4839",0.875522194317694,0.999930074063124,0.935607086842689,"25/10000/2260/2791/55970/54331/2788/3815/4804/4893/4915/5156/5320/8605/5336/5579/5881/5906/22821/10156/8437/10235/23179/6237/7010",25,0.792977222265086 +"WP1772","Apoptosis Modulation and Signaling","13/1022","79/4839",0.879929154875462,0.999930074063124,0.935607086842689,"9531/596/599/637/330/332/835/1676/1677/2353/9020/7133/8718",13,0.732243145028081 +"WP3413","NOTCH1 regulation of human endothelial cell calcification","2/1022","16/4839",0.881716784665246,0.999930074063124,0.935607086842689,"1902/4256",2,0.532633053221289 +"WP391","Mitochondrial Gene Expression","2/1022","16/4839",0.881716784665246,0.999930074063124,0.935607086842689,"10891/133522",2,0.532633053221289 +"WP4269","Ethanol metabolism resulting in production of ROS by CYP2E1","1/1022","9/4839",0.882013422665444,0.999930074063124,0.935607086842689,"23764",1,0.466332027424094 +"WP698","Glucuronidation","1/1022","9/4839",0.882013422665444,0.999930074063124,0.935607086842689,"5239",1,0.466332027424094 +"WP411","mRNA Processing","21/1022","122/4839",0.883577816383176,0.999930074063124,0.935607086842689,"10659/1196/29894/51692/1478/9343/3191/56339/4841/5496/55660/5725/6626/6628/6632/6635/6636/6637/8405/10772/6430",21,0.771861801564772 +"WP4685","Melanoma","10/1022","63/4839",0.88442190556457,0.999930074063124,0.935607086842689,"10000/1019/1869/1870/2353/4616/3815/4286/4893/7414",10,0.701767469609964 +"WP4197","The human immune response to tuberculosis","3/1022","23/4839",0.892600365127733,0.999930074063124,0.935607086842689,"3717/6773/7297",3,0.558930323846909 +"WP4537","Hippo-Yap signaling pathway","3/1022","23/4839",0.892600365127733,0.999930074063124,0.935607086842689,"26524/7003/23043",3,0.558930323846909 +"WP3286","Copper homeostasis","7/1022","47/4839",0.89500690547911,0.999930074063124,0.935607086842689,"6868/2308/2932/22823/6649/55240/79689",7,0.651206896551724 +"WP3678","Amplification and Expansion of Oncogenic Pathways as Metastatic Traits","2/1022","17/4839",0.902032926025066,0.999930074063124,0.935607086842689,"7428/7472",2,0.496993464052288 +"WP4155","Endometrial cancer","9/1022","59/4839",0.902327265856976,0.999930074063124,0.935607086842689,"10000/2247/2260/2353/4616/2932/3611/4609/4893",9,0.669358341559724 +"WP500","Glycogen Synthesis and Degradation","5/1022","36/4839",0.904032070792873,0.999930074063124,0.935607086842689,"2932/5516/5521/5525/5837",5,0.600437720049481 +"WP3676","BDNF-TrkB Signaling","4/1022","30/4839",0.904886034571245,0.999930074063124,0.935607086842689,"627/1978/4893/4915",4,0.572918240894665 +"WP4241","Type 2 papillary renal cell carcinoma","4/1022","30/4839",0.904886034571245,0.999930074063124,0.935607086842689,"81578/7942/7043/7428",4,0.572918240894665 +"WP43","Oxidation by Cytochrome P450","4/1022","30/4839",0.904886034571245,0.999930074063124,0.935607086842689,"1727/57404/1593/51302",4,0.572918240894665 +"WP4496","Signal transduction through IL1R","4/1022","30/4839",0.904886034571245,0.999930074063124,0.935607086842689,"3569/11213/9020/7043",4,0.572918240894665 +"WP4666","Hepatitis B infection","22/1022","130/4839",0.905470089093815,0.999930074063124,0.935607086842689,"10000/596/637/332/90993/9586/1959/1960/2353/3569/3717/4609/4772/4776/4893/5111/5579/6773/6777/7043/7048/7297",22,0.755537037037037 +"WP1425","Bone Morphogenic Protein (BMP) Signalling and Regulation","1/1022","10/4839",0.906978698449278,0.999930074063124,0.935607086842689,"10766",1,0.414408531940363 +"WP3656","Interleukin-1 Induced Activation of NF-kappa-B","1/1022","10/4839",0.906978698449278,0.999930074063124,0.935607086842689,"5590",1,0.414408531940363 +"WP438","Non-homologous end joining","1/1022","10/4839",0.906978698449278,0.999930074063124,0.935607086842689,"5591",1,0.414408531940363 +"WP1422","Sphingolipid pathway","3/1022","24/4839",0.908934725912484,0.999930074063124,0.935607086842689,"29956/57515/166929",3,0.532174400672929 +"WP2636","Common Pathways Underlying Drug Addiction","3/1022","24/4839",0.908934725912484,0.999930074063124,0.935607086842689,"72/5579/5906",3,0.532174400672929 +"WP4559","Interactions between immune cells and microRNAs in tumor microenvironment","3/1022","24/4839",0.908934725912484,0.999930074063124,0.935607086842689,"6347/7043/7048",3,0.532174400672929 +"WP3925","Amino Acid metabolism","10/1022","66/4839",0.915791648477362,0.999930074063124,0.935607086842689,"34/47/126/5832/501/8639/790/4953/5166/5831",10,0.663643421795596 +"WP4659","Gastrin Signaling Pathway","17/1022","105/4839",0.918594120239461,0.999930074063124,0.935607086842689,"408/330/332/1958/1978/2353/2308/2534/2932/3717/3815/9314/4208/4209/4609/388/6925",17,0.716791044776119 +"WP384","Apoptosis Modulation by HSP70","2/1022","18/4839",0.919052750276552,0.999930074063124,0.935607086842689,"637/835",2,0.465808823529412 +"WP3879","4-hydroxytamoxifen, Dexamethasone, and Retinoic Acids Regulation of p27 Expression","2/1022","18/4839",0.919052750276552,0.999930074063124,0.935607086842689,"1978/55872",2,0.465808823529412 +"WP3680","Association Between Physico-Chemical Features and Toxicity Associated Pathways","8/1022","55/4839",0.919649796928562,0.999930074063124,0.935607086842689,"58/10097/2535/8322/8324/2932/4609/4638",8,0.632842334969995 +"WP4521","Glycosylation and related congenital defects","3/1022","25/4839",0.922982923825578,0.999930074063124,0.935607086842689,"10195/79053/7841",3,0.507850834151129 +"WP4255","Non-small cell lung cancer","10/1022","67/4839",0.924503025461715,0.999930074063124,0.935607086842689,"10000/637/1019/1869/1870/4616/4893/5336/5579/6777",10,0.651827196449622 +"WP4210","Tryptophan catabolism leading to NAD+ production","1/1022","11/4839",0.926665542554649,0.999930074063124,0.935607086842689,"23498",1,0.372869735553379 +"WP4534","Mechanoregulation and pathology of YAP/TAZ via Hippo and non-Hippo mechanisms","6/1022","44/4839",0.926932208481225,0.999930074063124,0.935607086842689,"58/59/70/72/3690/7003",6,0.587287608785744 +"WP2037","Prolactin Signaling Pathway","11/1022","73/4839",0.927200501963799,0.999930074063124,0.935607086842689,"1978/2316/2353/2534/2932/3717/4609/6196/8835/9021/6777",11,0.658961105261479 +"WP3863","T-Cell antigen Receptor (TCR) pathway during Staphylococcus aureus infection","7/1022","50/4839",0.927464167576974,0.999930074063124,0.935607086842689,"1019/2353/2534/2932/9020/1326/6237",7,0.605292702485966 +"WP4018","Pathways in clear cell renal cell carcinoma","12/1022","79/4839",0.929965465976983,0.999930074063124,0.935607086842689,"32/47/2023/2194/5156/6472/8082/7043/84969/7167/7428/6935",12,0.664991872321561 +"WP2507","Nanomaterial induced apoptosis","2/1022","19/4839",0.933260961114407,0.999930074063124,0.935607086842689,"596/637",2,0.438292964244521 +"WP4206","Hereditary leiomyomatosis and renal cell carcinoma pathway","2/1022","19/4839",0.933260961114407,0.999930074063124,0.935607086842689,"32/8452",2,0.438292964244521 +"WP2324","AGE/RAGE pathway","9/1022","63/4839",0.938090580026804,0.999930074063124,0.935607086842689,"1650/2308/3625/3717/4322/4846/5579/5590/6777",9,0.619118130964133 +"WP534","Glycolysis and Gluconeogenesis","4/1022","33/4839",0.93995275510931,0.999930074063124,0.935607086842689,"2023/6515/6517/7167",4,0.513244360138202 +"WP23","B Cell Receptor Signaling Pathway","14/1022","92/4839",0.941630174229579,0.999930074063124,0.935607086842689,"695/933/974/975/2308/2534/2932/3608/4208/4209/4609/8395/5336/5579",14,0.665776353276353 +"WP3933","Kennedy pathway from Sphingolipids","1/1022","12/4839",0.942189116603769,0.999930074063124,0.935607086842689,"9791",1,0.338883447600392 +"WP47","Hedgehog Signaling Pathway Netpath","1/1022","12/4839",0.942189116603769,0.999930074063124,0.935607086842689,"8643",1,0.338883447600392 +"WP1982","Sterol Regulatory Element-Binding Proteins (SREBP) signalling","9/1022","64/4839",0.945010014311913,0.999930074063124,0.935607086842689,"47/2194/133522/5563/51422/6319/23411/6713/7528",9,0.607699901283317 +"WP143","Fatty Acid Beta Oxidation","3/1022","27/4839",0.945300222572607,0.999930074063124,0.935607086842689,"34/38/7167",3,0.465284592737978 +"WP4549","Fragile X Syndrome ","14/1022","93/4839",0.947247505263619,0.999930074063124,0.935607086842689,"627/26999/1915/1979/2534/2571/3708/4131/4204/4915/5909/6895/51256/9675",14,0.657172995780591 +"WP2359","Parkin-Ubiquitin Proteasomal System pathway","8/1022","59/4839",0.950773104125175,0.999930074063124,0.935607086842689,"898/3306/5717/10213/5709/6622/10381/84617",8,0.582588854082067 +"WP395","IL-4 Signaling Pathway","7/1022","53/4839",0.95079351505702,0.999930074063124,0.935607086842689,"332/2316/2353/3717/9021/6777/7297",7,0.565367316341829 +"WP4159","GABA receptor Signaling","1/1022","13/4839",0.954429166910574,0.999930074063124,0.935607086842689,"2571",1,0.310561540972902 +"WP3612","Photodynamic therapy-induced NFE2L2 (NRF2) survival signaling","2/1022","21/4839",0.954896495340778,0.999930074063124,0.935607086842689,"1066/2353",2,0.391950464396285 +"WP4585","Cancer immunotherapy by PD-1 blockade","2/1022","21/4839",0.954896495340778,0.999930074063124,0.935607086842689,"4772/4776",2,0.391950464396285 +"WP195","IL-1 signaling pathway","7/1022","55/4839",0.962362888607297,0.999930074063124,0.935607086842689,"6347/3316/11213/9020/4215/57161/5590",7,0.541522988505747 +"WP4313","Ferroptosis","4/1022","36/4839",0.962835157966289,0.999930074063124,0.935607086842689,"84557/81631/55240/7037",4,0.464759332023576 +"WP3845","Canonical and Non-canonical Notch signaling","2/1022","22/4839",0.963017752694939,0.999930074063124,0.935607086842689,"4237/6237",2,0.372254901960784 +"WP453","Inflammatory Response Pathway","2/1022","22/4839",0.963017752694939,0.999930074063124,0.935607086842689,"3913/7133",2,0.372254901960784 +"WP2637","Structural Pathway of Interleukin 1 (IL-1)","6/1022","49/4839",0.963456690090173,0.999930074063124,0.935607086842689,"2353/9020/4215/1326/4609/9252",6,0.518311664530306 +"WP3","Phytochemical activity on NRF2 transcriptional activation","1/1022","14/4839",0.964079683159516,0.999930074063124,0.935607086842689,"2048",1,0.286596850749642 +"WP4478","LTF danger signal response pathway","1/1022","14/4839",0.964079683159516,0.999930074063124,0.935607086842689,"3569",1,0.286596850749642 +"WP3982","miRNA regulation of p53 pathway in prostate cancer","2/1022","23/4839",0.969724170558482,0.999930074063124,0.935607086842689,"637/11200",2,0.354435107376284 +"WP4656","Joubert Syndrome","9/1022","69/4839",0.970349721382535,0.999930074063124,0.935607086842689,"57545/95681/2316/261734/5108/117177/79867/9094/23090",9,0.556317867719645 +"WP61","Notch Signaling Pathway Netpath","7/1022","57/4839",0.971411720535189,0.999930074063124,0.935607086842689,"6868/2273/2932/3066/3717/4609/23385",7,0.519586206896552 +"WP22","IL-9 Signaling Pathway","1/1022","15/4839",0.971688090166972,0.999930074063124,0.935607086842689,"6777",1,0.266055687701133 +"WP2453","TCA Cycle and Deficiency of Pyruvate Dehydrogenase complex (PDHc)","1/1022","15/4839",0.971688090166972,0.999930074063124,0.935607086842689,"47",1,0.266055687701133 +"WP481","Insulin Signaling","23/1022","150/4839",0.972563063883818,0.999930074063124,0.935607086842689,"1958/30846/1978/5167/2353/2308/2932/9020/4215/1326/5563/5579/5590/57381/6196/9252/6236/6517/9021/10580/6722/6812/6844",23,0.668936653188622 +"WP3865","Novel intracellular components of RIG-I-like receptor (RLR) pathway","6/1022","51/4839",0.972661216837911,0.999930074063124,0.935607086842689,"6387/8653/9636/54941/80143/7186",6,0.49501312335958 +"WP2873","Aryl Hydrocarbon Receptor Pathway","3/1022","31/4839",0.973077357447465,0.999930074063124,0.935607086842689,"10486/3726/3727",3,0.398394784803028 +"WP183","Proteasome Degradation","7/1022","58/4839",0.975146089269106,0.999930074063124,0.935607086842689,"5690/5691/5717/5709/6184/6185/7320",7,0.509263015551048 +"WP100","Glutathione metabolism","1/1022","16/4839",0.97768617720042,0.999930074063124,0.935607086842689,"2878",1,0.248253346392426 +"WP368","Mitochondrial LC-Fatty Acid Beta-Oxidation","1/1022","16/4839",0.97768617720042,0.999930074063124,0.935607086842689,"34",1,0.248253346392426 +"WP4494","Selective expression of chemokine receptors during T-cell polarization","1/1022","16/4839",0.97768617720042,0.999930074063124,0.935607086842689,"7043",1,0.248253346392426 +"WP2533","Glycerophospholipid Biosynthetic Pathway","2/1022","25/4839",0.979795488915296,0.999930074063124,0.935607086842689,"5320/9791",2,0.323444160272805 +"WP3851","TLR4 Signaling and Tolerance","2/1022","25/4839",0.979795488915296,0.999930074063124,0.935607086842689,"3569/11213",2,0.323444160272805 +"WP581","EPO Receptor Signaling","2/1022","25/4839",0.979795488915296,0.999930074063124,0.935607086842689,"3717/6777",2,0.323444160272805 +"WP244","Alpha 6 Beta 4 signaling pathway","3/1022","33/4839",0.981310074990616,0.999930074063124,0.935607086842689,"1978/3908/3913",3,0.371638861629048 +"WP4263","Pancreatic adenocarcinoma pathway","11/1022","85/4839",0.981895728220499,0.999930074063124,0.935607086842689,"10000/9459/675/1019/1869/1870/4616/5881/5888/7043/7048",11,0.550338171999893 +"WP3859","TGF-B Signaling in Thyroid Cells for Epithelial-Mesenchymal Transition","1/1022","17/4839",0.98241450539888,0.999930074063124,0.935607086842689,"7431",1,0.232676297747307 +"WP3874","Canonical and Non-Canonical TGF-B signaling","1/1022","17/4839",0.98241450539888,0.999930074063124,0.935607086842689,"7048",1,0.232676297747307 +"WP405","Eukaryotic Transcription Initiation","4/1022","41/4839",0.983902757348175,0.999930074063124,0.935607086842689,"2960/3611/5436/5437",4,0.401423034036001 +"WP1471","Target Of Rapamycin (TOR) Signaling","3/1022","34/4839",0.984463797563015,0.999930074063124,0.935607086842689,"1978/5563/51422",3,0.35955554148596 +"WP313","Signaling of Hepatocyte Growth Factor Receptor","3/1022","34/4839",0.984463797563015,0.999930074063124,0.935607086842689,"2353/3082/5906",3,0.35955554148596 +"WP4655","Cytosolic DNA-sensing pathway","6/1022","55/4839",0.98499866511702,0.999930074063124,0.935607086842689,"103/90865/3569/9636/5437/54941",6,0.454121806202796 +"WP4722","Glycerolipids and Glycerophospholipids","1/1022","18/4839",0.986141667464899,0.999930074063124,0.935607086842689,"9791",1,0.218931843060437 +"WP2583","T-Cell Receptor and Co-stimulatory Signaling","2/1022","27/4839",0.986584860633084,0.999930074063124,0.935607086842689,"2534/2932",2,0.297411764705882 +"WP4577","Neurodegeneration with brain iron accumulation (NBIA) subtypes pathway","4/1022","43/4839",0.988609839372155,0.999930074063124,0.935607086842689,"23400/80347/84557/4204",4,0.38063573623495 +"WP3945","TYROBP Causal Network","6/1022","57/4839",0.988988247391084,0.999930074063124,0.935607086842689,"54518/718/3071/5996/6696/7133",6,0.436081519221862 +"WP3937","Microglia Pathogen Phagocytosis Pathway","3/1022","36/4839",0.989310274384808,0.999930074063124,0.935607086842689,"3071/5336/5881",3,0.337585868498528 +"WP702","Metapathway biotransformation Phase I and II","11/1022","90/4839",0.990437699484362,0.999930074063124,0.935607086842689,"57404/1593/51302/2053/2878/2949/11185/7881/79829/55226/26151",11,0.514818014498742 +"WP2018","RANKL/RANK (Receptor activator of NFKB (ligand)) Signaling Pathway","5/1022","52/4839",0.991808941236611,0.999930074063124,0.935607086842689,"2353/4286/4772/7185/7186",5,0.394359714638382 +"WP4674","Head and Neck Squamous Cell Carcinoma","7/1022","66/4839",0.992314718762537,0.999930074063124,0.935607086842689,"10000/1017/1019/1978/4893/5563/7048",7,0.43927527761543 +"WP4136","Fibrin Complement Receptor 3 Signaling Pathway","2/1022","30/4839",0.992801390486254,0.999930074063124,0.935607086842689,"6347/3569",2,0.265336134453782 +"WP3915","Angiopoietin Like Protein 8 Regulatory Pathway","15/1022","117/4839",0.993096492146131,0.999930074063124,0.935607086842689,"1978/2194/2308/2932/9020/4215/1326/5563/51422/6196/9252/6319/6567/6517/7067",15,0.542525848472458 +"WP4217","Ebola Virus Pathway on Host","15/1022","118/4839",0.993885846002832,0.999930074063124,0.935607086842689,"6868/558/857/30835/10462/5610/2316/2318/2621/2934/3678/3690/388/9021/64601",15,0.537113988488349 +"WP2272","Pathogenic Escherichia coli infection","4/1022","47/4839",0.994390806182559,0.999930074063124,0.935607086842689,"25/2534/10381/84617",4,0.344862246995934 +"WP1433","Nucleotide-binding Oligomerization Domain (NOD) pathway","2/1022","32/4839",0.995269091959466,0.999930074063124,0.935607086842689,"22861/114548",2,0.247516339869281 +"WP4329","miRNAs involvement in the immune response in sepsis","2/1022","32/4839",0.995269091959466,0.999930074063124,0.935607086842689,"3569/3663",2,0.247516339869281 +"WP3869","Cannabinoid receptor signaling","1/1022","23/4839",0.995791481164406,0.999930074063124,0.935607086842689,"5577",1,0.168952007835455 +"WP477","Cytoplasmic Ribosomal Proteins","9/1022","85/4839",0.996761791106334,0.999930074063124,0.935607086842689,"9801/6138/6122/6164/6133/6207/6228/6196/6203",9,0.437327895256404 +"WP4532","Intraflagellar transport proteins binding to dynein","1/1022","25/4839",0.997388279639291,0.999930074063124,0.935607086842689,"89891",1,0.154791054521711 +"WP710","DNA Damage Response (only ATM dependent)","11/1022","100/4839",0.997554537460786,0.999930074063124,0.935607086842689,"25/10000/596/894/8061/2932/4609/4893/5881/7472/7482",11,0.45575078629458 +"WP4352","Ciliary landscape","27/1022","197/4839",0.997555018752146,0.999930074063124,0.935607086842689,"25904/51138/10238/9343/54512/3066/128239/25804/10982/55388/4171/4173/4174/4175/4176/84515/4436/4637/5048/10051/2040/79989/7431/89891/7465/10413/51646",27,0.582140112326338 +"WP4205","MET in type 1 papillary renal cell carcinoma","4/1022","52/4839",0.99774780836319,0.999930074063124,0.935607086842689,"10000/3082/4893/5906",4,0.308529796987557 +"WP69","T-Cell antigen Receptor (TCR) Signaling Pathway","8/1022","82/4839",0.998163678878075,0.999930074063124,0.935607086842689,"2353/2534/3569/3708/9020/1326/4772/7431",8,0.399061783677168 +"WP4396","Nonalcoholic fatty liver disease","16/1022","135/4839",0.998441141628455,0.999930074063124,0.935607086842689,"10000/637/6347/84701/1346/2932/3569/3570/3953/5465/5563/51422/4092/9021/7186/7381",16,0.4942446163356 +"WP1449","Regulation of toll-like receptor signaling pathway","12/1022","111/4839",0.998712123660994,0.999930074063124,0.935607086842689,"10000/695/8727/2353/3569/11213/3663/1326/57161/5347/6696/10771",12,0.446204620462046 +"WP2526","PDGF Pathway","2/1022","39/4839",0.998937671665641,0.999930074063124,0.935607086842689,"2353/6722",2,0.200317965023847 +"WP75","Toll-like Receptor Signaling Pathway","6/1022","78/4839",0.999677951800867,0.999930074063124,0.935607086842689,"10000/2353/3569/3663/1326/6696",6,0.307168635170604 +"WP4536","Genes related to primary cilium development (based on CRISPR)","8/1022","95/4839",0.999779505063155,0.999930074063124,0.935607086842689,"57545/11116/51715/163786/79867/79989/79770/89891",8,0.338252964247659 +"WP111","Electron Transport Chain (OXPHOS system in mitochondria)","4/1022","70/4839",0.999930074063124,0.999930074063124,0.935607086842689,"1346/9481/291/7381",4,0.223313686967911 diff --git a/statistics-enrichment-analysis/association_results/bladder_cancer_WikiPathways_padog_sample_perm.csv b/statistics-enrichment-analysis/association_results/bladder_cancer_WikiPathways_padog_sample_perm.csv new file mode 100644 index 0000000..dc3538c --- /dev/null +++ b/statistics-enrichment-analysis/association_results/bladder_cancer_WikiPathways_padog_sample_perm.csv @@ -0,0 +1,503 @@ +"set_id","name","GENE.SET","MEAN.ABS.T0","PADOG0","P.MEAN.ABS.T","PVAL" +"WP2023","Cell Differentiation - Index expanded","WP2023",4.65,3.97,0.002,1e-05 +"WP2029","Cell Differentiation - Index","WP2029",4.49,3.78,1e-05,1e-05 +"WP1991","SRF and miRs in Smooth Muscle Differentiation and Proliferation","WP1991",5.77,4.98,0.002,0.001 +"WP2355","Corticotropin-releasing hormone signaling pathway","WP2355",2.65,0.539,0.016,0.005 +"WP2361","Gastric Cancer Network 1","WP2361",5.83,5.94,0.02,0.012 +"WP4300","Extracellular vesicles in the crosstalk of cardiac cells","WP4300",2.98,1.79,0.025,0.013 +"WP554","ACE Inhibitor Pathway","WP554",3.32,3.11,0.015,0.017 +"WP1602","Nicotine Activity on Dopaminergic Neurons","WP1602",2.95,2.84,0.025,0.022 +"WP289","Myometrial Relaxation and Contraction Pathways","WP289",4.39,3.34,0.027,0.023 +"WP466","DNA Replication","WP466",7.06,6.95,0.029,0.026 +"WP3996","Ethanol effects on histone modifications","WP3996",2.9,2.75,0.028,0.029 +"WP2197","Endothelin Pathways","WP2197",2.33,1.79,0.057,0.031 +"WP3944","Serotonin and anxiety-related events","WP3944",3.63,2.35,0.024,0.032 +"WP4222","Phosphodiesterases in neuronal function","WP4222",3.35,3.29,0.036,0.032 +"WP2516","ATM Signaling Pathway","WP2516",3.11,1.92,0.066,0.034 +"WP35","G Protein Signaling Pathways","WP35",3.9,3.17,0.058,0.034 +"WP4337","ncRNAs involved in STAT3 signaling in hepatocellular carcinoma","WP4337",3.19,1.59,0.045,0.036 +"WP4016","DNA IR-damage and cellular response via ATR","WP4016",4.23,3.94,0.047,0.042 +"WP179","Cell Cycle","WP179",4.97,4.06,0.057,0.044 +"WP2276","Glial Cell Differentiation","WP2276",2.33,2.36,0.033,0.044 +"WP4589","Major receptors targeted by epinephrine and norepinephrine","WP4589",2.52,2.36,0.043,0.044 +"WP4481","Resistin as a regulator of inflammation","WP4481",0.837,-1.09,0.215,0.045 +"WP170","Nuclear Receptors","WP170",2.26,2.09,0.052,0.055 +"WP45","G1 to S cell cycle control","WP45",4.7,3.8,0.076,0.055 +"WP2032","Human Thyroid Stimulating Hormone (TSH) signaling pathway","WP2032",1.21,-0.856,0.161,0.056 +"WP4545","Oxysterols derived from cholesterol","WP4545",2.36,2.34,0.048,0.056 +"WP247","Small Ligand GPCRs","WP247",2.85,2.86,0.046,0.058 +"WP3972","PDGFR-beta pathway","WP3972",0.799,-1.47,0.264,0.059 +"WP3959","DNA IR-Double Strand Breaks (DSBs) and cellular response via ATM","WP3959",2.85,2.02,0.076,0.06 +"WP531","DNA Mismatch Repair","WP531",3.42,3.33,0.06,0.06 +"WP236","Adipogenesis","WP236",3.23,2.04,0.071,0.062 +"WP2431","Spinal Cord Injury","WP2431",2.99,1.54,0.077,0.063 +"WP2446","Retinoblastoma Gene in Cancer","WP2446",6.49,5.76,0.077,0.064 +"WP410","Exercise-induced Circadian Regulation","WP410",2.06,2.17,0.043,0.066 +"WP734","Serotonin Receptor 4/6/7 and NR3C Signaling","WP734",0.96,-0.0811,0.109,0.067 +"WP1530","miRNA Regulation of DNA Damage Response","WP1530",2.94,1.56,0.101,0.069 +"WP4535","Envelope proteins and their potential roles in EDMD physiopathology","WP4535",0.883,-0.0123,0.165,0.069 +"WP706","Sudden Infant Death Syndrome (SIDS) Susceptibility Pathways","WP706",2.09,1.29,0.073,0.069 +"WP707","DNA Damage Response","WP707",2.81,1.42,0.105,0.077 +"WP516","Hypertrophy Model","WP516",2.58,2.33,0.067,0.079 +"WP4760","PKC-gamma calcium signaling pathway in ataxia","WP4760",2.6,2.31,0.071,0.083 +"WP206","Fatty Acid Omega Oxidation","WP206",2.59,2.63,0.082,0.086 +"WP2332","Interleukin-11 Signaling Pathway","WP2332",-0.0761,-1.89,0.431,0.086 +"WP545","Complement Activation","WP545",3.38,3.38,0.086,0.087 +"WP1528","Physiological and Pathological Hypertrophy of the Heart","WP1528",1.68,0.0921,0.12,0.088 +"WP2363","Gastric Cancer Network 2","WP2363",2.23,2.1,0.105,0.088 +"WP4149","White fat cell differentiation","WP4149",2.24,1.72,0.082,0.089 +"WP383","Striated Muscle Contraction Pathway","WP383",3.63,3.71,0.09,0.092 +"WP2806","Human Complement System","WP2806",3.42,3.25,0.088,0.097 +"WP2815","Mammary gland development pathway - Involution (Stage 4 of 4)","WP2815",1.85,0.685,0.138,0.097 +"WP3299","let-7 inhibition of ES cell reprogramming","WP3299",2.08,1.36,0.088,0.098 +"WP474","Endochondral Ossification","WP474",2.41,1.81,0.109,0.099 +"WP558","Complement and Coagulation Cascades","WP558",3.35,3.36,0.091,0.1 +"WP536","Calcium Regulation in the Cardiac Cell","WP536",3.57,3.14,0.112,0.101 +"WP2855","Dopaminergic Neurogenesis","WP2855",2.1,1.73,0.118,0.102 +"WP2406","Cardiac Progenitor Differentiation","WP2406",2.36,1.51,0.08,0.104 +"WP4752","Base Excision Repair","WP4752",1.94,1.95,0.082,0.104 +"WP2848","Differentiation Pathway","WP2848",2.55,1.58,0.088,0.107 +"WP4240","Regulation of sister chromatid separation at the metaphase-anaphase transition","WP4240",2.93,3.03,0.101,0.107 +"WP3893","Development and heterogeneity of the ILC family","WP3893",2.68,2.14,0.069,0.11 +"WP2849","Hematopoietic Stem Cell Differentiation","WP2849",2.77,1.98,0.085,0.12 +"WP3594","Circadian rhythm related genes","WP3594",1.98,1.21,0.101,0.121 +"WP1971","Integrated Cancer Pathway","WP1971",1.86,0.186,0.172,0.123 +"WP3591","Sleep regulation","WP3591",2.46,1.3,0.043,0.123 +"WP3599","Transcription factor regulation in adipogenesis","WP3599",1.61,0.435,0.103,0.123 +"WP34","Ovarian Infertility Genes","WP34",1.46,1.09,0.114,0.126 +"WP497","Urea cycle and metabolism of amino groups","WP497",1.96,2,0.094,0.136 +"WP727","Monoamine Transport","WP727",1.65,1.24,0.134,0.137 +"WP3611","Photodynamic therapy-induced AP-1 survival signaling.","WP3611",1.88,-0.251,0.149,0.138 +"WP1423","Ganglio Sphingolipid Metabolism","WP1423",1.56,1.65,0.103,0.148 +"WP241","One Carbon Metabolism","WP241",1.69,1.56,0.113,0.149 +"WP3947","Serotonin and anxiety","WP3947",2.21,1.06,0.078,0.15 +"WP4321","Thermogenesis","WP4321",0.636,-0.11,0.246,0.16 +"WP1544","MicroRNAs in cardiomyocyte hypertrophy","WP1544",-0.0823,-1.86,0.536,0.161 +"WP1984","Integrated Breast Cancer Pathway","WP1984",0.94,-0.623,0.271,0.161 +"WP4560","MFAP5 effect on permeability and motility of endothelial cells via cytoskeleton rearrangement","WP4560",1.37,0.572,0.201,0.161 +"WP2038","Regulation of Microtubule Cytoskeleton","WP2038",1.03,0.327,0.214,0.165 +"WP3888","VEGFA-VEGFR2 Signaling Pathway","WP3888",0.532,-0.684,0.256,0.166 +"WP3995","Prion disease pathway","WP3995",1.14,-0.0857,0.164,0.166 +"WP465","Tryptophan metabolism","WP465",1.73,1.76,0.138,0.168 +"WP1545","miRNAs involved in DNA damage response","WP1545",0.93,-0.243,0.274,0.169 +"WP1434","Osteopontin Signaling","WP1434",0.816,-0.536,0.267,0.173 +"WP560","TGF-beta Receptor Signaling","WP560",1.01,-0.319,0.231,0.175 +"WP2011","SREBF and miR33 in cholesterol and lipid homeostasis","WP2011",1.31,0.766,0.153,0.178 +"WP2374","Oncostatin M Signaling Pathway","WP2374",0.0586,-2.25,0.478,0.184 +"WP4583","Biomarkers for urea cycle disorders","WP4583",1.47,1.48,0.139,0.184 +"WP1601","Fluoropyrimidine Activity","WP1601",1.68,1.64,0.177,0.186 +"WP1992","Genes targeted by miRNAs in adipocytes","WP1992",1.64,1.42,0.132,0.187 +"WP2879","Farnesoid X Receptor Pathway","WP2879",1.45,1.23,0.162,0.189 +"WP4658","Small cell lung cancer","WP4658",0.928,-1.04,0.338,0.19 +"WP1541","Energy Metabolism","WP1541",0.838,-0.0844,0.184,0.192 +"WP4584","Biomarkers for pyrimidine metabolism disorders","WP4584",1.54,1.52,0.151,0.192 +"WP3679","Cell-type Dependent Selectivity of CCK2R Signaling","WP3679",1.83,1.63,0.153,0.193 +"WP176","Folate Metabolism","WP176",1.85,0.997,0.171,0.197 +"WP186","Homologous recombination","WP186",1.35,1.17,0.158,0.201 +"WP3876","BMP2-WNT4-FOXO1 Pathway in Human Primary Endometrial Stromal Cell Differentiation","WP3876",1.04,0.69,0.213,0.203 +"WP4224","Purine metabolism and related disorders","WP4224",1.21,1.27,0.152,0.203 +"WP3958","GPR40 Pathway","WP3958",1.29,1.09,0.166,0.205 +"WP2874","Liver X Receptor Pathway","WP2874",1.23,0.936,0.2,0.206 +"WP384","Apoptosis Modulation by HSP70","WP384",1.19,0.15,0.215,0.207 +"WP2525","Trans-sulfuration and one carbon metabolism","WP2525",1.44,1.29,0.173,0.212 +"WP3584","MECP2 and Associated Rett Syndrome","WP3584",0.977,0.417,0.178,0.212 +"WP4698","Vitamin D-sensitive calcium signaling in depression","WP4698",1.38,0.87,0.154,0.218 +"WP2064","Neural Crest Differentiation","WP2064",1.36,0.635,0.217,0.221 +"WP2059","Alzheimers Disease","WP2059",1.1,0.32,0.239,0.222 +"WP3303","RAC1/PAK1/p38/MMP2 Pathway","WP3303",-0.73,-2.6,0.718,0.226 +"WP2338","miRNA Biogenesis","WP2338",1,1.06,0.174,0.228 +"WP4186","Somatroph axis (GH) and its relationship to dietary restriction and aging","WP4186",0.645,-0.296,0.282,0.23 +"WP732","Serotonin Receptor 2 and ELK-SRF/GATA4 signaling","WP732",0.104,-1.06,0.423,0.236 +"WP4304","Oligodendrocyte Specification and differentiation(including remyelination), leading to Myelin Components for CNS","WP4304",1.35,1.11,0.22,0.237 +"WP138","Androgen receptor signaling pathway","WP138",0.225,-0.951,0.367,0.238 +"WP3287","Overview of nanoparticle effects","WP3287",1.39,-0.267,0.125,0.246 +"WP4482","Vitamin D in inflammatory diseases","WP4482",0.595,-1,0.302,0.247 +"WP4493","Cells and Molecules involved in local acute inflammatory response ","WP4493",1.85,1.08,0.18,0.247 +"WP4756","Renin Angiotensin Aldosterone System (RAAS)","WP4756",1.07,0.782,0.23,0.25 +"WP58","Monoamine GPCRs","WP58",1.11,1.11,0.194,0.255 +"WP382","MAPK Signaling Pathway","WP382",0.104,-1.64,0.502,0.256 +"WP2881","Estrogen Receptor Pathway","WP2881",0.908,0.348,0.275,0.257 +"WP4719","Eicosanoid metabolism via Cyclo Oxygenases (COX)","WP4719",1.41,1.34,0.212,0.258 +"WP2840","Hair Follicle Development: Cytodifferentiation (Part 3 of 3)","WP2840",1.56,0.723,0.235,0.259 +"WP4259","Disorders of Folate Metabolism and Transport","WP4259",1.2,1.05,0.21,0.261 +"WP2814","Mammary gland development pathway - Puberty (Stage 2 of 4)","WP2814",1.13,0.548,0.283,0.266 +"WP2485","NAD Biosynthesis II (from tryptophan)","WP2485",1.03,1.06,0.222,0.271 +"WP322","Osteoblast Signaling","WP322",1.02,0.73,0.248,0.272 +"WP98","Prostaglandin Synthesis and Regulation","WP98",1.63,1.53,0.23,0.273 +"WP4172","PI3K-Akt Signaling Pathway","WP4172",0.551,-1.47,0.454,0.277 +"WP3298","Melatonin metabolism and effects","WP3298",1.23,0.378,0.238,0.28 +"WP4022","Pyrimidine metabolism","WP4022",1.02,1.13,0.228,0.284 +"WP24","Peptide GPCRs","WP24",1.66,1.64,0.234,0.288 +"WP3875","ATR Signaling","WP3875",0.757,0.678,0.217,0.293 +"WP428","Wnt Signaling","WP428",0.825,-0.254,0.316,0.293 +"WP53","ID signaling pathway","WP53",1.07,0.524,0.238,0.293 +"WP2113","Type III interferon signaling","WP2113",0.793,0.14,0.277,0.294 +"WP3892","Development of pulmonary dendritic cells and macrophage subsets","WP3892",1.1,0.866,0.275,0.297 +"WP3414","Initiation of transcription and translation elongation at the HIV-1 LTR","WP3414",0.348,-0.354,0.259,0.304 +"WP3929","Chemokine signaling pathway","WP3929",-0.0776,-1.73,0.541,0.307 +"WP4298","Viral Acute Myocarditis","WP4298",0.599,-1.07,0.349,0.307 +"WP3670","Simplified Interaction Map Between LOXL4 and Oxidative Stress Pathway","WP3670",0.583,0.296,0.257,0.311 +"WP4571","Urea cycle and related diseases","WP4571",0.895,0.925,0.253,0.314 +"WP3624","Lung fibrosis","WP3624",1.41,0.593,0.242,0.32 +"WP4754","IL-18 signaling pathway","WP4754",0.872,-0.42,0.329,0.32 +"WP306","Focal Adhesion","WP306",0.454,-1.16,0.441,0.321 +"WP4290","Metabolic reprogramming in colon cancer","WP4290",0.805,0.741,0.272,0.328 +"WP4666","Hepatitis B infection","WP4666",-0.596,-3.65,0.623,0.328 +"WP2036","TNF related weak inducer of apoptosis (TWEAK) Signaling Pathway","WP2036",-0.0759,-2.1,0.492,0.335 +"WP3640","Imatinib and Chronic Myeloid Leukemia","WP3640",0.852,0.308,0.285,0.338 +"WP3658","Wnt/beta-catenin Signaling Pathway in Leukemia","WP3658",0.272,-0.379,0.401,0.339 +"WP3668","Hypothesized Pathways in Pathogenesis of Cardiovascular Disease","WP3668",0.334,-0.252,0.431,0.341 +"WP712","Estrogen signaling pathway","WP712",-0.304,-2.52,0.481,0.341 +"WP2371","Parkinsons Disease Pathway","WP2371",0.532,-0.00984,0.299,0.343 +"WP2636","Common Pathways Underlying Drug Addiction","WP2636",0.0503,-0.992,0.411,0.343 +"WP272","Blood Clotting Cascade","WP272",1.08,1.07,0.286,0.347 +"WP3595","mir-124 predicted interactions with cell cycle and differentiation ","WP3595",0.271,0.301,0.297,0.347 +"WP4008","NO/cGMP/PKG mediated Neuroprotection","WP4008",0.535,-0.545,0.33,0.349 +"WP4204","Tumor suppressor activity of SMARCB1","WP4204",0.728,0.551,0.293,0.351 +"WP3646","Hepatitis C and Hepatocellular Carcinoma","WP3646",-0.0122,-1.99,0.525,0.355 +"WP1455","Serotonin Transporter Activity","WP1455",0.631,0.451,0.33,0.36 +"WP4191","Caloric restriction and aging","WP4191",0.297,-0.316,0.436,0.36 +"WP364","IL-6 signaling pathway","WP364",-0.45,-2.26,0.616,0.361 +"WP167","Eicosanoid Synthesis","WP167",0.955,0.912,0.287,0.362 +"WP2895","Differentiation of white and brown adipocyte ","WP2895",0.77,0.605,0.311,0.365 +"WP3943","Robo4 and VEGF Signaling Pathways Crosstalk","WP3943",-0.127,-0.304,0.51,0.365 +"WP4288","MTHFR deficiency","WP4288",0.69,0.334,0.306,0.367 +"WP26","Signal Transduction of S1P Receptor","WP26",0.244,-0.254,0.438,0.368 +"WP395","IL-4 Signaling Pathway","WP395",-0.389,-2.37,0.609,0.368 +"WP3580","Methionine De Novo and Salvage Pathway","WP3580",0.7,0.743,0.287,0.369 +"WP3849","MAPK and NFkB Signalling Pathways Inhibited by Yersinia YopJ","WP3849",-0.471,-1.54,0.623,0.369 +"WP2817","Mammary gland development pathway - Pregnancy and lactation (Stage 3 of 4)","WP2817",0.349,-0.221,0.408,0.37 +"WP4211","Transcriptional cascade regulating adipogenesis","WP4211",0.709,0.6,0.325,0.37 +"WP2878","PPAR Alpha Pathway","WP2878",0.462,-0.15,0.343,0.371 +"WP4629","Computational Model of Aerobic Glycolysis","WP4629",0.431,0.352,0.32,0.373 +"WP4538","Regulatory circuits of the STAT3 signaling pathway","WP4538",0.548,-0.488,0.421,0.374 +"WP2858","Ectoderm Differentiation","WP2858",0.883,0.741,0.311,0.377 +"WP2267","Synaptic Vesicle Pathway","WP2267",0.64,0.758,0.302,0.378 +"WP4753","Nucleotide Excision Repair","WP4753",0.473,0.458,0.288,0.378 +"WP262","EBV LMP1 signaling","WP262",-0.316,-1.39,0.543,0.379 +"WP1591","Heart Development","WP1591",0.52,0.0985,0.399,0.38 +"WP1403","AMP-activated Protein Kinase (AMPK) Signaling","WP1403",-0.414,-1.39,0.55,0.384 +"WP107","Translation Factors","WP107",0.211,0.286,0.296,0.386 +"WP2795","Cardiac Hypertrophic Response","WP2795",-0.518,-2.11,0.699,0.386 +"WP2369","Histone Modifications","WP2369",0.567,0.685,0.288,0.387 +"WP3878","ATM Signaling Network in Development and Disease ","WP3878",0.265,-0.229,0.339,0.388 +"WP2034","Leptin signaling pathway","WP2034",-1.27,-3.54,0.798,0.389 +"WP127","IL-5 Signaling Pathway","WP127",-0.414,-2.82,0.603,0.391 +"WP117","GPCRs, Other","WP117",1.03,1.06,0.313,0.392 +"WP4225","Pyrimidine metabolism and related diseases","WP4225",0.806,0.755,0.312,0.393 +"WP2118","Arrhythmogenic Right Ventricular Cardiomyopathy","WP2118",0.689,0.523,0.391,0.394 +"WP4147","PTF1A related regulatory pathway","WP4147",0.0857,-0.0368,0.438,0.395 +"WP3963","Mevalonate pathway","WP3963",0.406,0.427,0.334,0.399 +"WP4480","Role of Altered Glycolysation of MUC1 in Tumour Microenvironment","WP4480",0.335,-1.48,0.381,0.4 +"WP524","G13 Signaling Pathway","WP524",-0.124,-0.753,0.475,0.4 +"WP2507","Nanomaterial induced apoptosis","WP2507",0.469,-0.619,0.296,0.402 +"WP1742","TP53 Network","WP1742",0.708,-0.607,0.355,0.404 +"WP4320","The effect of progerin on the involved genes in Hutchinson-Gilford Progeria Syndrome","WP4320",0.241,-0.0357,0.366,0.405 +"WP3527","Preimplantation Embryo","WP3527",0.798,0.657,0.31,0.41 +"WP411","mRNA Processing","WP411",-0.581,-0.271,0.321,0.412 +"WP366","TGF-beta Signaling Pathway","WP366",-0.555,-1.95,0.576,0.413 +"WP3941","Oxidative Damage","WP3941",0.391,-0.79,0.422,0.416 +"WP4539","Synaptic signaling pathways associated with autism spectrum disorder","WP4539",-0.491,-2.09,0.63,0.42 +"WP4685","Melanoma","WP4685",-0.892,-2.88,0.788,0.423 +"WP254","Apoptosis","WP254",0.085,-1.38,0.51,0.424 +"WP4673","Genes involved in male infertility","WP4673",0.506,0.184,0.361,0.43 +"WP3998","Prader-Willi and Angelman Syndrome","WP3998",0.324,-0.0975,0.438,0.431 +"WP4269","Ethanol metabolism resulting in production of ROS by CYP2E1","WP4269",-0.127,-0.576,0.531,0.432 +"WP2380","Brain-Derived Neurotrophic Factor (BDNF) signaling pathway","WP2380",-0.697,-2.86,0.648,0.436 +"WP3657","Hematopoietic Stem Cell Gene Regulation by GABP alpha/beta Complex","WP3657",0.368,-0.356,0.336,0.438 +"WP4767","FGFR3 signalling in chondrocyte proliferation and terminal differentiation","WP4767",-0.0514,-1.01,0.537,0.438 +"WP51","Regulation of Actin Cytoskeleton","WP51",-0.342,-1.24,0.577,0.439 +"WP136","Phase I biotransformations, non P450","WP136",0.634,0.66,0.362,0.444 +"WP3301","MFAP5-mediated ovarian cancer cell motility and invasiveness","WP3301",-0.0361,-0.849,0.506,0.446 +"WP3613","Photodynamic therapy-induced unfolded protein response","WP3613",0.459,0.421,0.355,0.448 +"WP4462","Platelet-mediated interactions with vascular and circulating cells","WP4462",0.42,-0.0615,0.438,0.452 +"WP4507","Molybdenum cofactor (Moco) biosynthesis","WP4507",0.286,0.33,0.356,0.453 +"WP3585","Cytosine methylation","WP3585",0.349,0.325,0.35,0.454 +"WP3932","Focal Adhesion-PI3K-Akt-mTOR-signaling pathway","WP3932",-0.326,-1.77,0.616,0.454 +"WP1946","Cori Cycle","WP1946",0.102,-0.0555,0.394,0.455 +"WP231","TNF alpha Signaling Pathway","WP231",-0.619,-2.24,0.639,0.456 +"WP3672","LncRNA-mediated mechanisms of therapeutic resistance","WP3672",0.135,-0.288,0.506,0.456 +"WP28","Selenium Metabolism and Selenoproteins","WP28",0.625,-0.229,0.315,0.457 +"WP2911","miRNA targets in ECM and membrane receptors","WP2911",0.247,0.176,0.43,0.461 +"WP2447","Amyotrophic lateral sclerosis (ALS)","WP2447",-0.0765,-1.19,0.464,0.462 +"WP2865","IL1 and megakaryocytes in obesity","WP2865",0.45,-0.0274,0.47,0.463 +"WP4341","Non-genomic actions of 1,25 dihydroxyvitamin D3","WP4341",0.301,-1.59,0.472,0.464 +"WP4553","FBXL10 enhancement of MAP/ERK signaling in diffuse large B-cell lymphoma","WP4553",0.165,-0.0706,0.449,0.464 +"WP4286","Genotoxicity pathway","WP4286",0.651,0.544,0.39,0.465 +"WP4566","Translation inhibitors in chronically activated PDGFRA cells","WP4566",-0.935,-2.53,0.756,0.467 +"WP3935","Leptin Insulin Overlap","WP3935",0.027,-0.643,0.532,0.468 +"WP698","Glucuronidation","WP698",0.452,0.498,0.382,0.469 +"WP3407","FTO Obesity Variant Mechanism","WP3407",0.621,0.509,0.362,0.472 +"WP530","Cytokines and Inflammatory Response","WP530",0.695,-0.124,0.392,0.472 +"WP3529","Zinc homeostasis","WP3529",0.347,0.443,0.395,0.473 +"WP4357","NRF2-ARE regulation","WP4357",0.0647,-0.688,0.5,0.473 +"WP15","Selenium Micronutrient Network","WP15",0.667,-0.104,0.384,0.478 +"WP2037","Prolactin Signaling Pathway","WP2037",-0.791,-3.34,0.748,0.481 +"WP4540","Pathways Regulating Hippo Signaling","WP4540",-0.178,-1.1,0.517,0.482 +"WP3940","One carbon metabolism and related pathways","WP3940",0.484,0.339,0.393,0.486 +"WP1533","Vitamin B12 Metabolism","WP1533",0.574,-0.398,0.43,0.487 +"WP2007","Iron metabolism in placenta","WP2007",0.307,0.365,0.403,0.492 +"WP2870","Extracellular vesicle-mediated signaling in recipient cells","WP2870",-0.651,-1.53,0.689,0.492 +"WP4657","22q11.2 Deletion Syndrome","WP4657",0.457,0.374,0.42,0.494 +"WP2112","IL17 signaling pathway","WP2112",-0.494,-1.87,0.6,0.496 +"WP4236","Disorders of the Krebs cycle","WP4236",-0.00205,0.0313,0.402,0.497 +"WP4495","IL-10 Anti-inflammatory Signaling Pathway ","WP4495",0.621,-0.679,0.328,0.5 +"WP2813","Mammary gland development pathway - Embryonic development (Stage 1 of 4)","WP2813",-0.0789,-0.737,0.553,0.502 +"WP585","Interferon type I signaling pathways","WP585",-0.356,-1.75,0.597,0.505 +"WP23","B Cell Receptor Signaling Pathway","WP23",-0.974,-2.76,0.732,0.506 +"WP2586","Aryl Hydrocarbon Receptor Netpath","WP2586",-0.351,-1.67,0.597,0.51 +"WP3971","Role of Osx and miRNAs in tooth development","WP3971",0.0582,-0.153,0.524,0.514 +"WP314","Fas Ligand (FasL) pathway and Stress induction of Heat Shock Proteins (HSP) regulation","WP314",-0.0226,-0.943,0.531,0.519 +"WP3617","Photodynamic therapy-induced NF-kB survival signaling","WP3617",0.0179,-1.15,0.529,0.52 +"WP1772","Apoptosis Modulation and Signaling","WP1772",0.15,-1.22,0.493,0.521 +"WP4216","Chromosomal and microsatellite instability in colorectal cancer ","WP4216",-0.574,-2.77,0.697,0.521 +"WP4249","Hedgehog Signaling Pathway","WP4249",0.119,-0.206,0.455,0.522 +"WP183","Proteasome Degradation","WP183",-0.664,-0.485,0.456,0.523 +"WP437","EGF/EGFR Signaling Pathway","WP437",-0.795,-2.62,0.637,0.525 +"WP3930","EDA Signalling in Hair Follicle Development","WP3930",0.281,0.259,0.446,0.526 +"WP4541","Hippo-Merlin Signaling Dysregulation","WP4541",-0.199,-0.887,0.578,0.526 +"WP1539","Angiogenesis","WP1539",-0.525,-1.29,0.653,0.529 +"WP4558","Overview of interferons-mediated signaling pathway","WP4558",-0.177,-1.16,0.516,0.529 +"WP4312","Rett syndrome causing genes","WP4312",0.164,0.00715,0.431,0.53 +"WP4223","Ras Signaling","WP4223",-1.04,-2.61,0.759,0.532 +"WP4659","Gastrin Signaling Pathway","WP4659",-1.4,-3.97,0.846,0.532 +"WP4518","Gamma-Glutamyl Cycle for the biosynthesis and degradation of glutathione, including diseases","WP4518",0.105,0.104,0.455,0.533 +"WP4262","Breast cancer pathway","WP4262",-0.685,-2.73,0.758,0.541 +"WP4331","Neovascularisation processes","WP4331",-0.467,-1.36,0.639,0.542 +"WP197","Cholesterol Biosynthesis Pathway","WP197",-0.352,-0.332,0.471,0.543 +"WP3630","NAD metabolism, sirtuins and aging","WP3630",0.227,-0.463,0.446,0.545 +"WP129","Matrix Metalloproteinases","WP129",0.376,0.364,0.475,0.548 +"WP3863","T-Cell antigen Receptor (TCR) pathway during Staphylococcus aureus infection","WP3863",-1.01,-2.6,0.662,0.55 +"WP4336","ncRNAs involved in Wnt signaling in hepatocellular carcinoma","WP4336",0.0538,-0.685,0.526,0.556 +"WP2203","Thymic Stromal LymphoPoietin (TSLP) Signaling Pathway","WP2203",-0.236,-2.45,0.601,0.557 +"WP2261","Signaling Pathways in Glioblastoma","WP2261",-1.07,-3.06,0.883,0.558 +"WP4746","Thyroid hormones production and their peripheral downstream signalling effects regarding congenital hypothyroidism","WP4746",-0.794,-1.94,0.766,0.564 +"WP4533","Transcription co-factors SKI and SKIL protein partners","WP4533",-0.0576,-0.161,0.484,0.568 +"WP704","Methylation Pathways","WP704",0.118,0.142,0.457,0.57 +"WP3872","Regulation of Apoptosis by Parathyroid Hormone-related Protein","WP3872",0.255,-0.894,0.468,0.571 +"WP477","Cytoplasmic Ribosomal Proteins","WP477",-2.33,-2.18,0.545,0.571 +"WP404","Nucleotide Metabolism","WP404",-0.241,-0.264,0.484,0.572 +"WP4255","Non-small cell lung cancer","WP4255",-1.17,-3.26,0.876,0.577 +"WP408","Oxidative Stress","WP408",0.45,-0.492,0.434,0.58 +"WP4263","Pancreatic adenocarcinoma pathway","WP4263",-1.56,-3.77,0.894,0.581 +"WP3931","ESC Pluripotency Pathways","WP3931",-0.827,-2.54,0.779,0.583 +"WP2328","Allograft Rejection","WP2328",-0.751,-1.2,0.567,0.586 +"WP1589","Folate-Alcohol and Cancer Pathway Hypotheses","WP1589",-0.0611,-0.302,0.529,0.588 +"WP3655","Hypothetical Craniofacial Development Pathway","WP3655",-0.0586,-0.416,0.502,0.588 +"WP3596","miR-517 relationship with ARCN1 and USP1","WP3596",-0.025,-0.425,0.469,0.589 +"WP4595","Urea cycle and associated pathways","WP4595",-0.0592,-0.0348,0.48,0.595 +"WP286","IL-3 Signaling Pathway","WP286",-1.08,-3.01,0.767,0.597 +"WP2882","Nuclear Receptors Meta-Pathway","WP2882",0.247,-0.458,0.577,0.597 +"WP481","Insulin Signaling","WP481",-1.01,-2.87,0.765,0.598 +"WP4148","Splicing factor NOVA regulated synaptic proteins","WP4148",-0.138,-0.183,0.525,0.599 +"WP4718","Cholesterol metabolism (includes both Bloch and Kandutsch-Russell pathways)","WP4718",-0.168,-0.209,0.517,0.599 +"WP3853","ERK Pathway in Huntington's Disease","WP3853",-0.81,-1.66,0.729,0.6 +"WP2853","Endoderm Differentiation","WP2853",-0.134,-0.408,0.561,0.601 +"WP1531","Vitamin D Metabolism","WP1531",-0.0646,-0.153,0.527,0.604 +"WP3656","Interleukin-1 Induced Activation of NF-kappa-B","WP3656",-0.144,-0.676,0.523,0.606 +"WP500","Glycogen Synthesis and Degradation","WP500",-0.177,-0.372,0.5,0.607 +"WP134","Pentose Phosphate Metabolism","WP134",-0.343,-0.32,0.516,0.608 +"WP455","GPCRs, Class A Rhodopsin-like","WP455",0.441,0.497,0.517,0.609 +"WP313","Signaling of Hepatocyte Growth Factor Receptor","WP313",-0.945,-2.52,0.822,0.61 +"WP4724","Omega-9 FA synthesis","WP4724",-0.054,-0.136,0.513,0.615 +"WP3927","BMP Signaling Pathway in Eyelid Development","WP3927",-0.439,-1.19,0.638,0.616 +"WP678","Arachidonate Epoxygenase / Epoxide Hydrolase","WP678",-0.173,-0.149,0.512,0.616 +"WP4792","Purine metabolism","WP4792",-0.233,-0.191,0.52,0.617 +"WP3850","Factors and pathways affecting insulin-like growth factor (IGF1)-Akt signaling","WP3850",-0.323,-1.26,0.628,0.618 +"WP4258","LncRNA involvement in canonical Wnt signaling and colorectal cancer","WP4258",-0.197,-0.925,0.6,0.619 +"WP561","Heme Biosynthesis","WP561",-0.132,-0.0448,0.518,0.619 +"WP2249","Metastatic brain tumor","WP2249",-0.509,-1.29,0.674,0.623 +"WP3874","Canonical and Non-Canonical TGF-B signaling","WP3874",-0.532,-1.21,0.625,0.623 +"WP1422","Sphingolipid pathway","WP1422",-0.109,-0.0785,0.552,0.626 +"WP2291","Deregulation of Rab and Rab Effector Genes in Bladder Cancer","WP2291",-0.0748,0.0435,0.519,0.627 +"WP3871","Valproic acid pathway","WP3871",-0.337,-0.369,0.578,0.628 +"WP2359","Parkin-Ubiquitin Proteasomal System pathway","WP2359",-0.675,-0.616,0.557,0.63 +"WP3634","Insulin signalling in human adipocytes (normal condition)","WP3634",-0.588,-1.22,0.687,0.63 +"WP3635","Insulin signalling in human adipocytes (diabetic condition)","WP3635",-0.588,-1.22,0.687,0.63 +"WP2035","Follicle Stimulating Hormone (FSH) signaling pathway","WP2035",-0.966,-2.23,0.771,0.634 +"WP673","ErbB Signaling Pathway","WP673",-1.59,-3.89,0.929,0.635 +"WP400","p38 MAPK Signaling Pathway","WP400",-0.913,-1.94,0.734,0.636 +"WP3844","PI3K-AKT-mTOR signaling pathway and therapeutic opportunities","WP3844",-0.83,-2.26,0.768,0.638 +"WP3942","PPAR signaling pathway","WP3942",-0.0627,-0.198,0.577,0.64 +"WP2456","HIF1A and PPARG regulation of glycolysis","WP2456",-0.474,-0.597,0.58,0.641 +"WP4239","Epithelial to mesenchymal transition in colorectal cancer","WP4239",-1.26,-2.43,0.808,0.641 +"WP3644","NAD+ metabolism","WP3644",-0.11,-0.137,0.538,0.643 +"WP391","Mitochondrial Gene Expression","WP391",-0.697,-0.897,0.566,0.645 +"WP4483","Relationship between inflammation, COX-2 and EGFR","WP4483",-1.23,-2.35,0.838,0.645 +"WP3967","miR-509-3p alteration of YAP1/ECM axis","WP3967",-0.318,-0.409,0.571,0.646 +"WP2864","Apoptosis-related network due to altered Notch3 in ovarian cancer","WP2864",-0.39,-1.02,0.654,0.648 +"WP2868","TCA Cycle Nutrient Utilization and Invasiveness of Ovarian Cancer","WP2868",-0.778,-1.78,0.701,0.65 +"WP304","Kit receptor signaling pathway","WP304",-0.984,-2.9,0.802,0.65 +"WP4534","Mechanoregulation and pathology of YAP/TAZ via Hippo and non-Hippo mechanisms","WP4534",-0.642,-1.07,0.693,0.65 +"WP69","T-Cell antigen Receptor (TCR) Signaling Pathway","WP69",-1.62,-3.57,0.765,0.654 +"WP4496","Signal transduction through IL1R","WP4496",-0.555,-2.31,0.677,0.659 +"WP311","Synthesis and Degradation of Ketone Bodies","WP311",-0.219,-0.19,0.555,0.661 +"WP2875","Constitutive Androstane Receptor Pathway","WP2875",-0.406,-0.836,0.565,0.662 +"WP430","Statin Pathway","WP430",-0.133,-0.153,0.587,0.662 +"WP3851","TLR4 Signaling and Tolerance","WP3851",-0.497,-1.68,0.621,0.665 +"WP3651","Pathways Affected in Adenoid Cystic Carcinoma","WP3651",-1.1,-1.57,0.712,0.668 +"WP2290","RalA downstream regulated genes","WP2290",-0.811,-1.37,0.724,0.679 +"WP3865","Novel intracellular components of RIG-I-like receptor (RLR) pathway","WP3865",-0.964,-1.87,0.723,0.683 +"WP4747","Netrin-UNC5B signaling Pathway","WP4747",-0.985,-2.22,0.799,0.683 +"WP422","MAPK Cascade","WP422",-1.13,-2.47,0.816,0.684 +"WP2583","T-Cell Receptor and Co-stimulatory Signaling","WP2583",-0.744,-1.81,0.637,0.685 +"WP4141","PI3K/AKT/mTOR - VitD3 Signalling","WP4141",-0.575,-1.63,0.669,0.685 +"WP4521","Glycosylation and related congenital defects","WP4521",-0.644,-0.502,0.574,0.685 +"WP619","Type II interferon signaling (IFNG)","WP619",-0.96,-1.44,0.668,0.691 +"WP49","IL-2 Signaling Pathway","WP49",-1,-3.02,0.802,0.698 +"WP3937","Microglia Pathogen Phagocytosis Pathway","WP3937",-1.49,-2.05,0.73,0.702 +"WP2436","Dopamine metabolism","WP2436",-0.325,-0.464,0.641,0.704 +"WP2857","Mesodermal Commitment Pathway","WP2857",-0.456,-0.747,0.652,0.708 +"WP3877","Simplified Depiction of MYD88 Distinct Input-Output Pathway","WP3877",-0.357,-1.09,0.629,0.712 +"WP2643","Nanoparticle-mediated activation of receptor signaling","WP2643",-1.64,-3.06,0.88,0.713 +"WP2637","Structural Pathway of Interleukin 1 (IL-1)","WP2637",-1.06,-2.88,0.74,0.714 +"WP2916","Interactome of polycomb repressive complex 2 (PRC2) ","WP2916",-0.633,-0.627,0.603,0.716 +"WP4564","Neural Crest Cell Migration during Development","WP4564",-0.828,-2.19,0.763,0.716 +"WP4705","Pathways of nucleic acid metabolism and innate immune sensing","WP4705",-0.475,-0.425,0.641,0.717 +"WP185","Integrin-mediated Cell Adhesion","WP185",-1.45,-2.38,0.826,0.718 +"WP3969","H19 action Rb-E2F1 signaling and CDK-Beta-catenin activity","WP3969",-0.568,-0.993,0.716,0.718 +"WP4271","Vitamin B12 Disorders","WP4271",-0.497,-0.461,0.602,0.718 +"WP4297","Thiamine metabolic pathways","WP4297",-0.532,-0.481,0.613,0.718 +"WP4210","Tryptophan catabolism leading to NAD+ production","WP4210",-0.224,-0.184,0.604,0.719 +"WP3664","Regulation of Wnt/B-catenin Signaling by Small Molecule Compounds","WP3664",-0.58,-1.02,0.689,0.72 +"WP4292","Methionine metabolism leading to Sulphur Amino Acids and related disorders","WP4292",-0.505,-0.561,0.636,0.725 +"WP363","Wnt Signaling Pathway (Netpath)","WP363",-1.27,-2.47,0.796,0.726 +"WP205","IL-7 Signaling Pathway","WP205",-1.24,-2.91,0.819,0.727 +"WP4725","Sphingolipid Metabolism (general overview)","WP4725",-0.28,-0.251,0.631,0.727 +"WP195","IL-1 signaling pathway","WP195",-1.55,-3.07,0.874,0.729 +"WP3","Phytochemical activity on NRF2 transcriptional activation","WP3",-0.682,-1.16,0.738,0.729 +"WP78","TCA Cycle (aka Krebs or citric acid cycle)","WP78",-1.24,-1.21,0.65,0.729 +"WP3925","Amino Acid metabolism","WP3925",-0.645,-0.61,0.658,0.73 +"WP4523","Classical pathway of steroidogenesis, including diseases","WP4523",-0.511,-0.462,0.635,0.73 +"WP22","IL-9 Signaling Pathway","WP22",-1.18,-2.56,0.787,0.732 +"WP4586","Metabolism of alpha-linolenic acid","WP4586",-0.432,-0.501,0.635,0.732 +"WP1584","Type II diabetes mellitus","WP1584",-0.879,-1.51,0.753,0.735 +"WP268","Notch Signaling","WP268",-0.701,-0.816,0.675,0.737 +"WP3593","MicroRNA for Targeting Cancer Growth and Vascularization in Glioblastoma","WP3593",-0.719,-0.776,0.682,0.737 +"WP3981","miRNA regulation of prostate cancer signaling pathways","WP3981",-1.62,-3.53,0.856,0.741 +"WP4301","Inhibition of exosome biogenesis and secretion by Manumycin A in CRPC cells","WP4301",-1.34,-1.87,0.789,0.741 +"WP1559","TFs Regulate miRNAs related to cardiac hypertrophy","WP1559",-1.12,-1.9,0.796,0.743 +"WP299","Nuclear Receptors in Lipid Metabolism and Toxicity","WP299",-0.795,-0.903,0.675,0.743 +"WP4559","Interactions between immune cells and microRNAs in tumor microenvironment","WP4559",-0.63,-1.46,0.695,0.743 +"WP1425","Bone Morphogenic Protein (BMP) Signalling and Regulation","WP1425",-0.558,-0.703,0.673,0.748 +"WP4562","Canonical NF-KB pathway","WP4562",-1.01,-2.06,0.748,0.749 +"WP2876","Pregnane X Receptor pathway","WP2876",-0.632,-1.07,0.675,0.75 +"WP3965","Lipid Metabolism Pathway","WP3965",-0.985,-1.44,0.727,0.75 +"WP4389","Bile Acids synthesis and enterohepatic circulation ","WP4389",-0.834,-1.22,0.712,0.75 +"WP399","Wnt Signaling Pathway and Pluripotency","WP399",-0.763,-1.86,0.758,0.754 +"WP229","Irinotecan Pathway","WP229",-0.407,-0.416,0.677,0.755 +"WP2333","Trans-sulfuration pathway","WP2333",-0.6,-0.709,0.657,0.756 +"WP4742","Ketogenesis and Ketolysis","WP4742",-0.602,-0.603,0.675,0.757 +"WP244","Alpha 6 Beta 4 signaling pathway","WP244",-1.71,-2.98,0.869,0.758 +"WP288","NLR Proteins","WP288",-1.4,-1.98,0.814,0.759 +"WP1424","Globo Sphingolipid Metabolism","WP1424",-0.338,-0.223,0.658,0.761 +"WP501","GPCRs, Class C Metabotropic glutamate, pheromone","WP501",-0.626,-0.568,0.692,0.764 +"WP61","Notch Signaling Pathway Netpath","WP61",-0.953,-1.88,0.749,0.764 +"WP3926","ApoE and miR-146 in inflammation and atherosclerosis","WP3926",-0.57,-1.15,0.667,0.765 +"WP4155","Endometrial cancer","WP4155",-1.63,-3.89,0.93,0.765 +"WP2873","Aryl Hydrocarbon Receptor Pathway","WP2873",-0.988,-1.62,0.789,0.771 +"WP3286","Copper homeostasis","WP3286",-0.877,-1.57,0.777,0.771 +"WP4549","Fragile X Syndrome ","WP4549",-1.63,-2.41,0.864,0.771 +"WP3612","Photodynamic therapy-induced NFE2L2 (NRF2) survival signaling","WP3612",-0.586,-1.6,0.662,0.777 +"WP3300","Dual hijack model of Vif in HIV infection","WP3300",-0.745,-0.704,0.683,0.778 +"WP4136","Fibrin Complement Receptor 3 Signaling Pathway","WP4136",-1.22,-2.37,0.804,0.779 +"WP2324","AGE/RAGE pathway","WP2324",-1.53,-3.55,0.891,0.781 +"WP4537","Hippo-Yap signaling pathway","WP4537",-0.513,-0.578,0.684,0.781 +"WP2884","NRF2 pathway","WP2884",-0.531,-0.814,0.72,0.783 +"WP4721","Eicosanoid metabolism via Lipo Oxygenases (LOX)","WP4721",-0.592,-0.595,0.696,0.786 +"WP4478","LTF danger signal response pathway","WP4478",-0.44,-1.63,0.663,0.788 +"WP4582","Cancer immunotherapy by CTLA4 blockade","WP4582",-1.26,-2.05,0.837,0.789 +"WP75","Toll-like Receptor Signaling Pathway","WP75",-1.67,-3.9,0.897,0.789 +"WP4018","Pathways in clear cell renal cell carcinoma","WP4018",-1.19,-1.7,0.796,0.796 +"WP4726","Sphingolipid Metabolism (integrated pathway)","WP4726",-0.528,-0.497,0.698,0.796 +"WP2533","Glycerophospholipid Biosynthetic Pathway","WP2533",-0.899,-1.08,0.757,0.798 +"WP4519","Cerebral Organic Acidurias, including diseases","WP4519",-0.617,-0.571,0.716,0.799 +"WP3678","Amplification and Expansion of Oncogenic Pathways as Metastatic Traits","WP3678",-0.976,-1.2,0.803,0.8 +"WP2828","Bladder Cancer","WP2828",-1.3,-2.7,0.919,0.804 +"WP4542","Overview of leukocyte-intrinsic Hippo pathway functions","WP4542",-0.709,-1.28,0.701,0.806 +"WP4565","Neural Crest Cell Migration in Cancer","WP4565",-1.12,-2.44,0.827,0.806 +"WP2018","RANKL/RANK (Receptor activator of NFKB (ligand)) Signaling Pathway","WP2018",-1.76,-3.7,0.893,0.812 +"WP3933","Kennedy pathway from Sphingolipids","WP3933",-0.72,-0.701,0.716,0.812 +"WP2854","Gene regulatory network modelling somitogenesis ","WP2854",-0.634,-0.728,0.729,0.816 +"WP3934","Leptin and adiponectin","WP3934",-1.12,-1.19,0.744,0.817 +"WP4150","Wnt Signaling in Kidney Disease","WP4150",-1.11,-1.66,0.82,0.824 +"WP3845","Canonical and Non-canonical Notch signaling","WP3845",-1.1,-1.25,0.785,0.825 +"WP4479","Supression of HMGB1 mediated inflammation by THBD","WP4479",-1.37,-2.33,0.795,0.827 +"WP2272","Pathogenic Escherichia coli infection","WP2272",-1.14,-1.55,0.777,0.828 +"WP4206","Hereditary leiomyomatosis and renal cell carcinoma pathway","WP4206",-1.36,-1.58,0.816,0.829 +"WP2453","TCA Cycle and Deficiency of Pyruvate Dehydrogenase complex (PDHc)","WP2453",-1.36,-1.37,0.746,0.833 +"WP3945","TYROBP Causal Network","WP3945",-1.84,-1.87,0.777,0.833 +"WP405","Eukaryotic Transcription Initiation","WP405",-1.45,-1.35,0.744,0.833 +"WP2805","exRNA mechanism of action and biogenesis","WP2805",-0.878,-0.846,0.738,0.834 +"WP357","Fatty Acid Biosynthesis","WP357",-0.95,-1.05,0.746,0.837 +"WP3645","NAD+ biosynthetic pathways","WP3645",-0.84,-0.859,0.749,0.846 +"WP47","Hedgehog Signaling Pathway Netpath","WP47",-1.02,-0.992,0.76,0.846 +"WP696","Benzo(a)pyrene metabolism","WP696",-1.35,-1.34,0.776,0.846 +"WP3879","4-hydroxytamoxifen, Dexamethasone, and Retinoic Acids Regulation of p27 Expression","WP3879",-1.89,-2.73,0.876,0.847 +"WP4656","Joubert Syndrome","WP4656",-1.59,-1.67,0.774,0.85 +"WP4205","MET in type 1 papillary renal cell carcinoma","WP4205",-2.39,-4.04,0.97,0.854 +"WP716","Vitamin A and Carotenoid Metabolism","WP716",-0.918,-0.994,0.805,0.854 +"WP4585","Cancer immunotherapy by PD-1 blockade","WP4585",-1.82,-2.42,0.808,0.855 +"WP4142","Metabolism of Spingolipids in ER and Golgi apparatus","WP4142",-0.927,-0.896,0.789,0.856 +"WP100","Glutathione metabolism","WP100",-1.31,-1.39,0.8,0.859 +"WP2526","PDGF Pathway","WP2526",-1.99,-3.97,0.927,0.859 +"WP3858","Toll-like Receptor Signaling related to MyD88","WP3858",-1.39,-2.15,0.861,0.861 +"WP4655","Cytosolic DNA-sensing pathway","WP4655",-1.59,-2.35,0.819,0.861 +"WP4522","Metabolic pathway of LDL, HDL and TG, including diseases","WP4522",-0.842,-0.874,0.779,0.863 +"WP12","Osteoclast Signaling","WP12",-1.19,-1.41,0.817,0.864 +"WP4197","The human immune response to tuberculosis","WP4197",-1.4,-1.84,0.785,0.864 +"WP4241","Type 2 papillary renal cell carcinoma","WP4241",-1.25,-1.6,0.837,0.869 +"WP4494","Selective expression of chemokine receptors during T-cell polarization","WP4494",-1.58,-1.83,0.804,0.869 +"WP80","Nucleotide GPCRs","WP80",-0.764,-0.737,0.781,0.871 +"WP4504","Cysteine and methionine catabolism","WP4504",-1.06,-1.12,0.824,0.872 +"WP3982","miRNA regulation of p53 pathway in prostate cancer","WP3982",-1.13,-1.89,0.832,0.873 +"WP3676","BDNF-TrkB Signaling","WP3676",-1.81,-2.85,0.951,0.874 +"WP2572","Primary Focal Segmental Glomerulosclerosis FSGS","WP2572",-1.34,-1.85,0.865,0.876 +"WP2942","DDX1 as a regulatory component of the Drosha microprocessor","WP2942",-1.18,-1.3,0.78,0.877 +"WP615","Senescence and Autophagy in Cancer","WP615",-1.55,-2.97,0.862,0.879 +"WP3614","Photodynamic therapy-induced HIF-1 survival signaling","WP3614",-1.12,-1.55,0.845,0.881 +"WP4153","Degradation pathway of sphingolipids, including diseases","WP4153",-1.23,-1.17,0.813,0.881 +"WP4217","Ebola Virus Pathway on Host","WP4217",-2.39,-3.15,0.899,0.881 +"WP581","EPO Receptor Signaling","WP581",-2.1,-3.12,0.941,0.884 +"WP438","Non-homologous end joining","WP438",-1.34,-1.33,0.799,0.888 +"WP4561","Cell migration and invasion through p75NTR","WP4561",-1.32,-2.09,0.884,0.891 +"WP4722","Glycerolipids and Glycerophospholipids","WP4722",-1.12,-1.09,0.817,0.893 +"WP106","Alanine and aspartate metabolism","WP106",-1.07,-1.08,0.821,0.895 +"WP3413","NOTCH1 regulation of human endothelial cell calcification","WP3413",-1.18,-1.25,0.855,0.898 +"WP2513","Nanoparticle triggered regulated necrosis","WP2513",-1.49,-1.72,0.885,0.906 +"WP453","Inflammatory Response Pathway","WP453",-1.94,-2.05,0.851,0.906 +"WP691","Tamoxifen metabolism","WP691",-1.28,-1.3,0.849,0.906 +"WP4723","Omega-3/Omega-6 FA synthesis","WP4723",-1.41,-1.44,0.847,0.907 +"WP111","Electron Transport Chain (OXPHOS system in mitochondria)","WP111",-3.38,-3.27,0.864,0.909 +"WP3859","TGF-B Signaling in Thyroid Cells for Epithelial-Mesenchymal Transition","WP3859",-1.69,-2.2,0.902,0.91 +"WP1449","Regulation of toll-like receptor signaling pathway","WP1449",-2.09,-3.95,0.943,0.911 +"WP4159","GABA receptor Signaling","WP4159",-1.34,-1.31,0.835,0.911 +"WP2877","Vitamin D Receptor Pathway","WP2877",-1.05,-1.53,0.868,0.912 +"WP368","Mitochondrial LC-Fatty Acid Beta-Oxidation","WP368",-1.56,-1.6,0.856,0.912 +"WP143","Fatty Acid Beta Oxidation","WP143",-1.79,-1.81,0.884,0.919 +"WP4396","Nonalcoholic fatty liver disease","WP4396",-2.89,-4.23,0.921,0.921 +"WP1433","Nucleotide-binding Oligomerization Domain (NOD) pathway","WP1433",-2.32,-2.82,0.916,0.923 +"WP3869","Cannabinoid receptor signaling","WP3869",-1.61,-2.34,0.916,0.924 +"WP4146","Macrophage markers","WP4146",-1.96,-1.96,0.864,0.925 +"WP3680","Association Between Physico-Chemical Features and Toxicity Associated Pathways","WP3680",-2.27,-3.55,0.971,0.932 +"WP1471","Target Of Rapamycin (TOR) Signaling","WP1471",-2.42,-3,0.932,0.936 +"WP534","Glycolysis and Gluconeogenesis","WP534",-2.04,-2.12,0.888,0.939 +"WP692","Sulfation Biotransformation Reaction","WP692",-1.77,-1.77,0.897,0.939 +"WP1982","Sterol Regulatory Element-Binding Proteins (SREBP) signalling","WP1982",-1.82,-2.14,0.912,0.943 +"WP4313","Ferroptosis","WP4313",-1.81,-1.81,0.92,0.947 +"WP4329","miRNAs involvement in the immune response in sepsis","WP4329",-1.84,-3.22,0.91,0.947 +"WP325","Triacylglyceride Synthesis","WP325",-1.77,-1.75,0.9,0.949 +"WP3915","Angiopoietin Like Protein 8 Regulatory Pathway","WP3915",-2.67,-4.13,0.97,0.949 +"WP43","Oxidation by Cytochrome P450","WP43",-1.88,-1.83,0.924,0.952 +"WP4352","Ciliary landscape","WP4352",-3.04,-2.98,0.927,0.952 +"WP4674","Head and Neck Squamous Cell Carcinoma","WP4674",-2.59,-4.28,0.979,0.952 +"WP4758","Nephrotic syndrome","WP4758",-2.14,-2.12,0.932,0.962 +"WP2509","Nanoparticle triggered autophagic cell death","WP2509",-1.9,-2.29,0.917,0.964 +"WP710","DNA Damage Response (only ATM dependent)","WP710",-2.87,-4.92,0.987,0.97 +"WP702","Metapathway biotransformation Phase I and II","WP702",-2.54,-2.42,0.937,0.972 +"WP697","Estrogen metabolism","WP697",-2.58,-2.61,0.96,0.977 +"WP4536","Genes related to primary cilium development (based on CRISPR)","WP4536",-2.87,-2.68,0.937,0.98 +"WP4324","Mitochondrial complex I assembly model OXPHOS system","WP4324",-3.86,-3.78,0.96,0.983 +"WP4532","Intraflagellar transport proteins binding to dynein","WP4532",-2.93,-2.86,0.961,0.983 +"WP623","Oxidative phosphorylation","WP623",-3.56,-3.52,0.953,0.984 +"WP4577","Neurodegeneration with brain iron accumulation (NBIA) subtypes pathway","WP4577",-3.37,-3.52,0.971,0.991 diff --git a/statistics-enrichment-analysis/association_results/bladder_cancer_WikiPathways_rSEA.csv b/statistics-enrichment-analysis/association_results/bladder_cancer_WikiPathways_rSEA.csv new file mode 100644 index 0000000..e3fbbff --- /dev/null +++ b/statistics-enrichment-analysis/association_results/bladder_cancer_WikiPathways_rSEA.csv @@ -0,0 +1,569 @@ +"set_id","name","ID","Name","Size","Coverage","TDP.bound","TDP.estimate","SC.adjP","Comp.adjP" +"WP1600","Nicotine Metabolism",38,"WP1600",6,0.17,1,1,3.39506009152496e-24,3.39506009152496e-24 +"WP2276","Glial Cell Differentiation",88,"WP2276",8,0.62,0.4,0.4,7.83386153710323e-26,5.70447887867626e-23 +"WP4030","SCFA and skeletal muscle substrate metabolism",332,"WP4030",6,0.33,0.5,0.5,7.99040804992212e-20,7.99040804992212e-20 +"WP334","GPCRs, Class B Secretin-like",210,"WP334",24,0.17,0.5,0.5,3.06579274689702e-21,1.60955895014834e-18 +"WP1991","SRF and miRs in Smooth Muscle Differentiation and Proliferation",60,"WP1991",13,0.69,0.888888888888889,1,5.37258163429194e-24,1.16900918682e-14 +"WP206","Fatty Acid Omega Oxidation",76,"WP206",15,0.33,0.6,0.8,2.94021006969881e-38,1.31928124608757e-14 +"WP3299","let-7 inhibition of ES cell reprogramming",205,"WP3299",15,0.33,0.6,0.6,1.69191698398203e-15,1.74501293167954e-14 +"WP2023","Cell Differentiation - Index expanded",66,"WP2023",50,0.22,0.727272727272727,0.727272727272727,4.7856489956754e-16,2.33586928012365e-14 +"WP2029","Cell Differentiation - Index",67,"WP2029",42,0.14,0.833333333333333,0.833333333333333,4.7856489956754e-16,2.33586928012365e-14 +"WP2366","Butyrate-induced histone acetylation",105,"WP2366",2,1,0.5,0.5,1.10524321914212e-13,1.10524321914212e-13 +"WP3297","EV release from cardiac cells and their functional effects",203,"WP3297",9,0.44,0.75,0.75,3.05550468161626e-32,3.37870774082303e-13 +"WP554","ACE Inhibitor Pathway",530,"WP554",17,0.65,0.545454545454545,0.545454545454545,3.79036700534385e-25,5.54255202240522e-13 +"WP4284","Ultraconserved region 339 modulation of tumor suppressor microRNAs in cancer",385,"WP4284",5,0.4,0.5,0.5,2.90591396510707e-11,2.90591396510707e-11 +"WP2361","Gastric Cancer Network 1",103,"WP2361",29,0.76,0.727272727272727,0.727272727272727,3.61848623532521e-17,1.04514067941364e-10 +"WP3944","Serotonin and anxiety-related events",309,"WP3944",13,0.46,0.666666666666667,0.666666666666667,1.45750470372243e-17,3.26510400891469e-09 +"WP3947","Serotonin and anxiety",311,"WP3947",17,0.41,0.428571428571429,0.428571428571429,1.45750470372243e-17,3.26510400891469e-09 +"WP1438","Influenza A virus infection",20,"WP1438",2,0.5,1,1,1.28737203377495e-08,1.28737203377495e-08 +"WP383","Striated Muscle Contraction Pathway",265,"WP383",38,0.61,0.565217391304348,0.652173913043478,1.03667354058147e-21,1.30607861950122e-08 +"WP2542","Sulindac Metabolic Pathway",133,"WP2542",5,0.8,0.5,0.75,4.35964063989166e-11,2.5564111779557e-08 +"WP4222","Phosphodiesterases in neuronal function",366,"WP4222",55,0.56,0.419354838709677,0.483870967741935,1.11151548949677e-22,3.51064709129753e-08 +"WP2943","Hypoxia-mediated EMT and Stemness",191,"WP2943",2,1,0.5,0.5,1.87433487284931e-07,1.87433487284931e-07 +"WP2874","Liver X Receptor Pathway",175,"WP2874",10,0.5,0.4,0.4,9.83107916736652e-08,2.35055233649832e-07 +"WP466","DNA Replication",480,"WP466",42,0.98,0.634146341463415,0.75609756097561,3.91911842678923e-14,4.20885218710584e-07 +"WP545","Complement Activation",528,"WP545",22,0.68,0.466666666666667,0.466666666666667,3.75341311013175e-54,6.35126956702113e-07 +"WP4240","Regulation of sister chromatid separation at the metaphase-anaphase transition",374,"WP4240",16,0.94,0.533333333333333,0.533333333333333,4.41152154021936e-12,6.65380602412947e-07 +"WP4300","Extracellular vesicles in the crosstalk of cardiac cells",395,"WP4300",28,0.61,0.411764705882353,0.588235294117647,1.55030261832076e-25,8.80494600850642e-07 +"WP531","DNA Mismatch Repair",525,"WP531",22,0.95,0.523809523809524,0.571428571428571,3.57124737003596e-13,1.25145166671192e-06 +"WP4589","Major receptors targeted by epinephrine and norepinephrine",471,"WP4589",15,0.73,0.636363636363636,0.636363636363636,1.11151548949677e-22,2.66815064645758e-06 +"WP4760","PKC-gamma calcium signaling pathway in ataxia",508,"WP4760",22,0.55,0.416666666666667,0.583333333333333,6.52294438984146e-17,2.70719651941471e-06 +"WP4191","Caloric restriction and aging",354,"WP4191",8,1,0.375,0.375,2.9447393377517e-11,3.80469322236512e-06 +"WP2446","Retinoblastoma Gene in Cancer",117,"WP2446",88,0.98,0.546511627906977,0.593023255813954,1.96366351804733e-14,4.24785596200959e-06 +"WP1992","Genes targeted by miRNAs in adipocytes",61,"WP1992",19,0.53,0.5,0.5,2.33586928012365e-14,8.49856030430427e-06 +"WP4337","ncRNAs involved in STAT3 signaling in hepatocellular carcinoma",406,"WP4337",17,0.76,0.538461538461538,0.615384615384615,1.55030261832076e-25,9.36831691097847e-06 +"WP2645","Heroin metabolism",145,"WP2645",3,0.67,0.5,1,1.87627142351219e-05,1.87627142351219e-05 +"WP2826","Cocaine metabolism",158,"WP2826",4,0.5,0.5,1,1.87627142351219e-05,1.87627142351219e-05 +"WP1602","Nicotine Activity on Dopaminergic Neurons",40,"WP1602",22,0.5,0.636363636363636,0.818181818181818,2.50026382158374e-16,2.24952453555091e-05 +"WP4545","Oxysterols derived from cholesterol",452,"WP4545",18,0.56,0.6,0.6,1.46780086933461e-09,2.36116814219851e-05 +"WP45","G1 to S cell cycle control",430,"WP45",64,0.95,0.491803278688525,0.573770491803279,3.91911842678923e-14,2.89588011644963e-05 +"WP1495","Glycine Metabolism",24,"WP1495",4,0.75,0.666666666666667,0.666666666666667,7.32732034249336e-10,2.91348117795513e-05 +"WP2879","Farnesoid X Receptor Pathway",180,"WP2879",19,0.37,0.428571428571429,0.428571428571429,1.03671457774015e-11,0.000129931976156264 +"WP34","Ovarian Infertility Genes",211,"WP34",32,0.53,0.411764705882353,0.411764705882353,8.1728342950092e-20,0.000152471085336278 +"WP516","Hypertrophy Model",519,"WP516",20,0.75,0.466666666666667,0.533333333333333,1.73723649603814e-29,0.000166791537749366 +"WP247","Small Ligand GPCRs",121,"WP247",19,0.53,0.6,0.8,3.77273931182897e-18,0.000182717661150266 +"WP2363","Gastric Cancer Network 2",104,"WP2363",33,0.88,0.448275862068966,0.448275862068966,1.12863099668653e-15,0.000185246692246443 +"WP170","Nuclear Receptors",44,"WP170",39,0.74,0.413793103448276,0.413793103448276,5.53853655041636e-45,0.000204208460415242 +"WP3996","Ethanol effects on histone modifications",325,"WP3996",31,0.9,0.428571428571429,0.5,2.94021006969881e-38,0.000238758692258098 +"WP4400","FABP4 in ovarian cancer",417,"WP4400",2,0.5,1,1,0.000245357066905715,0.000245357066905715 +"WP58","Monoamine GPCRs",534,"WP58",33,0.15,0.6,0.6,2.66815064645758e-06,0.000266280491622695 +"WP3679","Cell-type Dependent Selectivity of CCK2R Signaling",261,"WP3679",13,0.69,0.444444444444444,0.555555555555556,6.52294438984146e-17,0.000315427333264674 +"WP2338","miRNA Biogenesis",99,"WP2338",8,0.75,0.5,0.5,5.52094234656009e-11,0.000633704399420972 +"WP1455","Serotonin Transporter Activity",22,"WP1455",11,0.73,0.375,0.5,5.50097841431123e-07,0.000698192443745329 +"WP4016","DNA IR-damage and cellular response via ATR",329,"WP4016",83,0.9,0.413333333333333,0.466666666666667,3.1984443894539e-16,0.000704575375419051 +"WP179","Cell Cycle",48,"WP179",122,0.94,0.434782608695652,0.48695652173913,3.91911842678923e-14,0.000860192369254168 +"WP2848","Differentiation Pathway",162,"WP2848",48,0.54,0.461538461538462,0.538461538461538,1.55030261832076e-25,0.000900218402911242 +"WP2815","Mammary gland development pathway - Involution (Stage 4 of 4)",155,"WP2815",10,1,0.5,0.7,3.47598200773578e-10,0.000979886474579196 +"WP322","Osteoblast Signaling",199,"WP322",14,0.5,0.428571428571429,0.428571428571429,1.60955895014834e-18,0.00122105800992755 +"WP4583","Biomarkers for urea cycle disorders",467,"WP4583",12,0.67,0.375,0.375,1.05891161032475e-42,0.00125836568297114 +"WP3893","Development and heterogeneity of the ILC family",289,"WP3893",32,0.56,0.5,0.555555555555556,1.55030261832076e-25,0.00137922281926359 +"WP2406","Cardiac Progenitor Differentiation",112,"WP2406",53,0.57,0.466666666666667,0.5,5.00019440781505e-25,0.0019450999028179 +"WP558","Complement and Coagulation Cascades",531,"WP558",59,0.66,0.41025641025641,0.487179487179487,3.75341311013175e-54,0.00204133415581446 +"WP2516","ATM Signaling Pathway",127,"WP2516",40,0.92,0.405405405405405,0.459459459459459,6.96540853859659e-18,0.00226170199642674 +"WP3876","BMP2-WNT4-FOXO1 Pathway in Human Primary Endometrial Stromal Cell Differentiation",282,"WP3876",13,0.85,0.454545454545455,0.454545454545455,1.1219536394885e-16,0.00287452439577986 +"WP1545","miRNAs involved in DNA damage response",33,"WP1545",50,0.28,0.357142857142857,0.428571428571429,1.33825325438479e-13,0.00291300857028192 +"WP3591","Sleep regulation",223,"WP3591",38,0.34,0.461538461538462,0.538461538461538,1.55030261832076e-25,0.00298637777295038 +"WP2855","Dopaminergic Neurogenesis",166,"WP2855",30,0.33,0.4,0.6,8.1921343985721e-23,0.00300186445388684 +"WP497","Urea cycle and metabolism of amino groups",515,"WP497",21,0.76,0.375,0.4375,1.21134935033961e-14,0.00350987947486594 +"WP3407","FTO Obesity Variant Mechanism",212,"WP3407",8,0.88,0.428571428571429,0.428571428571429,2.9447393377517e-11,0.00376777148807062 +"WP289","Myometrial Relaxation and Contraction Pathways",186,"WP289",158,0.76,0.391666666666667,0.466666666666667,4.72920713559152e-27,0.00465022180500277 +"WP1530","miRNA Regulation of DNA Damage Response",27,"WP1530",93,0.69,0.375,0.453125,2.50026382158374e-16,0.00482551043459127 +"WP4149","White fat cell differentiation",344,"WP4149",33,0.91,0.4,0.433333333333333,3.05550468161626e-32,0.00497520122591071 +"WP2814","Mammary gland development pathway - Puberty (Stage 2 of 4)",154,"WP2814",13,0.92,0.5,0.5,8.1728342950092e-20,0.00569300599773054 +"WP1603","Nicotine Activity on Chromaffin Cells",41,"WP1603",4,0.25,1,1,0.00581825930604642,0.00581825930604642 +"WP4698","Vitamin D-sensitive calcium signaling in depression",486,"WP4698",41,0.54,0.363636363636364,0.5,6.52294438984146e-17,0.00581825930604642 +"WP1971","Integrated Cancer Pathway",56,"WP1971",46,0.93,0.372093023255814,0.418604651162791,1.47590569356761e-12,0.00623426422936051 +"WP4224","Purine metabolism and related disorders",368,"WP4224",22,0.86,0.368421052631579,0.421052631578947,3.39506009152496e-24,0.00660624701596271 +"WP4259","Disorders of Folate Metabolism and Transport",379,"WP4259",13,0.85,0.454545454545455,0.454545454545455,7.32732034249336e-10,0.00660624701596271 +"WP1601","Fluoropyrimidine Activity",39,"WP1601",34,0.82,0.392857142857143,0.5,7.38854762906026e-09,0.00668550277003425 +"WP2806","Human Complement System",152,"WP2806",99,0.64,0.349206349206349,0.428571428571429,3.75341311013175e-54,0.00703640980157322 +"WP707","DNA Damage Response",557,"WP707",69,0.9,0.370967741935484,0.451612903225806,2.50026382158374e-16,0.00934439177317729 +"WP2895","Differentiation of white and brown adipocyte ",187,"WP2895",25,0.72,0.388888888888889,0.388888888888889,4.791051754563e-15,0.00971361957709086 +"WP1995","Effects of Nitric Oxide",62,"WP1995",8,0.5,0.5,0.75,3.39506009152496e-24,0.0112147264561884 +"WP136","Phase I biotransformations, non P450",10,"WP136",8,0.62,0.4,0.6,1.87627142351219e-05,0.0123569322150726 +"WP536","Calcium Regulation in the Cardiac Cell",527,"WP536",152,0.7,0.355140186915888,0.429906542056075,7.92756655687513e-25,0.0169432049684982 +"WP35","G Protein Signaling Pathways",216,"WP35",97,0.78,0.355263157894737,0.434210526315789,1.11151548949677e-22,0.0169866528793556 +"WP241","One Carbon Metabolism",113,"WP241",31,0.81,0.4,0.48,7.32732034249336e-10,0.0170103318686093 +"WP4571","Urea cycle and related diseases",464,"WP4571",9,0.67,0.5,0.5,6.0595781921859e-07,0.020635406510022 +"WP4752","Base Excision Repair",503,"WP4752",31,0.97,0.4,0.466666666666667,3.57124737003596e-13,0.0220340720140378 +"WP4720","Eicosanoid metabolism via Cytochrome P450 Mono-Oxygenases (CYP) pathway",491,"WP4720",9,0.44,0.5,0.5,4.43345799464762e-09,0.0230432320025256 +"WP474","Endochondral Ossification",498,"WP474",65,0.83,0.351851851851852,0.462962962962963,4.81536487673321e-20,0.0246820506324245 +"WP3875","ATR Signaling",281,"WP3875",9,0.89,0.375,0.375,4.60260415203756e-08,0.0248929712443472 +"WP3959","DNA IR-Double Strand Breaks (DSBs) and cellular response via ATM",314,"WP3959",55,0.95,0.346153846153846,0.423076923076923,2.50026382158374e-16,0.0248929712443472 +"WP4560","MFAP5 effect on permeability and motility of endothelial cells via cytoskeleton rearrangement",458,"WP4560",18,0.94,0.411764705882353,0.470588235294118,6.52294438984146e-17,0.0254612754912739 +"WP2525","Trans-sulfuration and one carbon metabolism",128,"WP2525",32,0.88,0.357142857142857,0.464285714285714,7.32732034249336e-10,0.0321645449138761 +"WP98","Prostaglandin Synthesis and Regulation",568,"WP98",45,0.82,0.378378378378378,0.459459459459459,2.17394413943821e-22,0.0332806226599994 +"WP4304","Oligodendrocyte Specification and differentiation(including remyelination), leading to Myelin Components for CNS",397,"WP4304",31,0.52,0.375,0.375,7.83386153710323e-26,0.0344632354643189 +"WP3599","Transcription factor regulation in adipogenesis",228,"WP3599",22,0.86,0.368421052631579,0.368421052631579,1.55030261832076e-25,0.0362388400314306 +"WP1604","Codeine and Morphine Metabolism",42,"WP1604",15,0.27,0.5,0.5,6.49286728094462e-06,0.0372370714105519 +"WP236","Adipogenesis",102,"WP236",131,0.79,0.346153846153846,0.413461538461538,3.75341311013175e-54,0.0373548404617312 +"WP4661","Amino Acid Metabolism Pathway Excerpt (Histidine catabolism extension)",481,"WP4661",6,0.33,0.5,0.5,0.0431468886224066,0.0431468886224066 +"WP3585","Cytosine methylation",222,"WP3585",9,0.89,0.375,0.5,7.49087453817701e-07,0.046146524101977 +"WP3872","Regulation of Apoptosis by Parathyroid Hormone-related Protein",279,"WP3872",22,0.91,0.35,0.45,1.28737203377495e-08,0.0485074090657223 +"WP4399","MicroRNA network associated with chronic lymphocytic leukemia",416,"WP4399",7,0.57,0.5,0.5,1.28737203377495e-08,0.0485074090657223 +"WP53","ID signaling pathway",523,"WP53",16,0.81,0.307692307692308,0.384615384615385,1.33825325438479e-13,0.0542788662751285 +"WP734","Serotonin Receptor 4/6/7 and NR3C Signaling",564,"WP734",19,0.84,0.3125,0.375,1.69191698398203e-15,0.0542788662751285 +"WP2881","Estrogen Receptor Pathway",182,"WP2881",13,0.77,0.3,0.4,2.58938282317479e-38,0.0594386193019534 +"WP3963","Mevalonate pathway",315,"WP3963",7,1,0.285714285714286,0.428571428571429,0.00314781622146767,0.0618737980244723 +"WP2197","Endothelin Pathways",81,"WP2197",34,0.68,0.304347826086957,0.391304347826087,4.72920713559152e-27,0.0668243064530906 +"WP2355","Corticotropin-releasing hormone signaling pathway",100,"WP2355",93,0.78,0.328767123287671,0.410958904109589,5.53853655041636e-45,0.0668243064530906 +"WP727","Monoamine Transport",561,"WP727",32,0.53,0.294117647058824,0.529411764705882,4.62070637396041e-12,0.0730490654877152 +"WP167","Eicosanoid Synthesis",43,"WP167",27,0.67,0.333333333333333,0.388888888888889,2.17394413943821e-22,0.0735098081465718 +"WP3624","Lung fibrosis",235,"WP3624",63,0.67,0.30952380952381,0.428571428571429,1.55030261832076e-25,0.080115977530217 +"WP4584","Biomarkers for pyrimidine metabolism disorders",468,"WP4584",15,0.8,0.333333333333333,0.5,2.56816439701713e-12,0.0832724893457054 +"WP4204","Tumor suppressor activity of SMARCB1",357,"WP4204",33,0.79,0.269230769230769,0.423076923076923,7.79200875278231e-09,0.0908144088489654 +"WP4719","Eicosanoid metabolism via Cyclo Oxygenases (COX)",490,"WP4719",30,0.7,0.333333333333333,0.380952380952381,2.17394413943821e-22,0.0918721376616465 +"WP3611","Photodynamic therapy-induced AP-1 survival signaling.",230,"WP3611",51,0.9,0.304347826086957,0.456521739130435,1.55030261832076e-25,0.093911573076689 +"WP2011","SREBF and miR33 in cholesterol and lipid homeostasis",64,"WP2011",19,0.84,0.3125,0.4375,2.9447393377517e-11,0.103949453944605 +"WP3892","Development of pulmonary dendritic cells and macrophage subsets",288,"WP3892",13,0.77,0.2,0.7,7.70437079680464e-06,0.111367348220358 +"WP2431","Spinal Cord Injury",114,"WP2431",120,0.75,0.322222222222222,0.4,5.53853655041636e-45,0.114048118916392 +"WP272","Blood Clotting Cascade",148,"WP272",23,0.52,0.333333333333333,0.5,1.05891161032475e-42,0.114803285411883 +"WP117","GPCRs, Other",5,"WP117",94,0.23,0.318181818181818,0.363636363636364,3.77273931182897e-18,0.120172770046016 +"WP3596","miR-517 relationship with ARCN1 and USP1",227,"WP3596",5,1,0.2,0.4,7.70437079680464e-06,0.123137649892892 +"WP3672","LncRNA-mediated mechanisms of therapeutic resistance",257,"WP3672",12,0.58,0.285714285714286,0.428571428571429,1.61117377276123e-06,0.123137649892892 +"WP3995","Prion disease pathway",324,"WP3995",37,0.84,0.258064516129032,0.419354838709677,1.42295577093001e-17,0.148008766451471 +"WP4147","PTF1A related regulatory pathway",342,"WP4147",11,0.45,0.2,0.4,0.000808563677475246,0.156029921726251 +"WP2849","Hematopoietic Stem Cell Differentiation",163,"WP2849",63,0.68,0.325581395348837,0.395348837209302,1.4645909158934e-29,0.156167098725433 +"WP3958","GPR40 Pathway",313,"WP3958",16,0.81,0.307692307692308,0.538461538461538,1.06179313771239e-06,0.156624702837221 +"WP4249","Hedgehog Signaling Pathway",376,"WP4249",44,0.77,0.264705882352941,0.411764705882353,6.45939424963396e-09,0.171056939850016 +"WP2846","Proprotein convertase subtilisin/kexin type 9 (PCSK9) mediated LDL receptor degradation",161,"WP2846",3,0.33,0,1,0.191601747736878,0.191601747736878 +"WP3408","Evolocumab Mechanism",213,"WP3408",3,0.33,0,1,0.191601747736878,0.191601747736878 +"WP2118","Arrhythmogenic Right Ventricular Cardiomyopathy",80,"WP2118",76,0.74,0.303571428571429,0.410714285714286,6.58880500842654e-23,0.19520059624092 +"WP3640","Imatinib and Chronic Myeloid Leukemia",243,"WP3640",21,0.95,0.3,0.4,3.36912948711107e-08,0.202640916207215 +"WP2007","Iron metabolism in placenta",63,"WP2007",12,0.67,0.25,0.375,0.000425327317103322,0.20667484530917 +"WP129","Matrix Metalloproteinases",8,"WP129",30,0.73,0.272727272727273,0.409090909090909,1.66846236358396e-28,0.217106999492912 +"WP4754","IL-18 signaling pathway",505,"WP4754",279,0.8,0.265765765765766,0.373873873873874,5.53853655041636e-45,0.224063872360977 +"WP3301","MFAP5-mediated ovarian cancer cell motility and invasiveness",207,"WP3301",13,1,0.230769230769231,0.384615384615385,7.1834548445351e-10,0.236415904297976 +"WP704","Methylation Pathways",555,"WP704",10,0.7,0.142857142857143,0.428571428571429,1.10795143781028e-12,0.241165469354808 +"WP3930","EDA Signalling in Hair Follicle Development",297,"WP3930",14,0.64,0.222222222222222,0.555555555555556,6.78928901696758e-07,0.24293224118149 +"WP3967","miR-509-3p alteration of YAP1/ECM axis",317,"WP3967",19,0.89,0.235294117647059,0.352941176470588,3.92971708713555e-06,0.246081089028509 +"WP2858","Ectoderm Differentiation",168,"WP2858",144,0.78,0.285714285714286,0.366071428571429,6.10911950894992e-26,0.251410075884791 +"WP428","Wnt Signaling",384,"WP428",118,0.79,0.301075268817204,0.365591397849462,5.00019440781505e-25,0.251410075884791 +"WP1434","Osteopontin Signaling",19,"WP1434",13,1,0.230769230769231,0.461538461538462,1.51229007711679e-12,0.257536764433672 +"WP176","Folate Metabolism",46,"WP176",73,0.6,0.295454545454545,0.409090909090909,1.55030261832076e-25,0.257536764433672 +"WP28","Selenium Metabolism and Selenoproteins",150,"WP28",46,0.61,0.25,0.392857142857143,2.4987918295779e-23,0.257536764433672 +"WP2840","Hair Follicle Development: Cytodifferentiation (Part 3 of 3)",160,"WP2840",88,0.64,0.267857142857143,0.375,1.4645909158934e-29,0.257536764433672 +"WP3617","Photodynamic therapy-induced NF-kB survival signaling",234,"WP3617",35,0.86,0.233333333333333,0.4,1.55030261832076e-25,0.257536764433672 +"WP2059","Alzheimers Disease",75,"WP2059",150,0.46,0.260869565217391,0.36231884057971,6.52294438984146e-17,0.264407820025205 +"WP4658","Small cell lung cancer",478,"WP4658",98,0.91,0.269662921348315,0.359550561797753,1.33825325438479e-13,0.266714097046007 +"WP237","Glucocorticoid and Mineralcorticoid Metabolism",107,"WP237",8,0.25,0,0.5,0.273007477872406,0.273007477872406 +"WP3287","Overview of nanoparticle effects",202,"WP3287",19,0.79,0.266666666666667,0.4,1.55030261832076e-25,0.292450502904674 +"WP4586","Metabolism of alpha-linolenic acid",470,"WP4586",7,0.86,0.166666666666667,0.5,0.0386740237126384,0.296626199889639 +"WP3580","Methionine De Novo and Salvage Pathway",220,"WP3580",22,0.86,0.210526315789474,0.368421052631579,4.35964063989166e-11,0.301026666733762 +"WP4481","Resistin as a regulator of inflammation",422,"WP4481",33,0.85,0.25,0.357142857142857,1.55030261832076e-25,0.310639518319511 +"WP3595","mir-124 predicted interactions with cell cycle and differentiation ",226,"WP3595",7,0.86,0.333333333333333,0.5,1.28871879017951e-06,0.311537001183337 +"WP4225","Pyrimidine metabolism and related diseases",369,"WP4225",17,0.71,0.25,0.416666666666667,1.65319775729734e-07,0.312696646387934 +"WP24","Peptide GPCRs",111,"WP24",75,0.28,0.285714285714286,0.428571428571429,1.91116166189054e-21,0.317365436064072 +"WP4336","ncRNAs involved in Wnt signaling in hepatocellular carcinoma",405,"WP4336",91,0.76,0.289855072463768,0.36231884057971,5.00019440781505e-25,0.320170838547363 +"WP4462","Platelet-mediated interactions with vascular and circulating cells",418,"WP4462",17,0.88,0.266666666666667,0.4,1.28837373141904e-08,0.341095356415239 +"WP4493","Cells and Molecules involved in local acute inflammatory response ",426,"WP4493",17,0.76,0.307692307692308,0.384615384615385,1.55030261832076e-25,0.341095356415239 +"WP3670","Simplified Interaction Map Between LOXL4 and Oxidative Stress Pathway",256,"WP3670",21,0.81,0.176470588235294,0.352941176470588,2.45932835171728e-12,0.357129134137342 +"WP4538","Regulatory circuits of the STAT3 signaling pathway",447,"WP4538",79,0.85,0.26865671641791,0.343283582089552,1.91116166189054e-21,0.363878327573958 +"WP229","Irinotecan Pathway",90,"WP229",13,0.54,0.285714285714286,0.428571428571429,1.87627142351219e-05,0.372595026103777 +"WP4172","PI3K-Akt Signaling Pathway",350,"WP4172",345,0.73,0.281746031746032,0.361111111111111,1.96319556679318e-26,0.389653492019368 +"WP3584","MECP2 and Associated Rett Syndrome",221,"WP3584",71,0.72,0.274509803921569,0.352941176470588,2.08918249834541e-15,0.389709140526829 +"WP530","Cytokines and Inflammatory Response",524,"WP530",27,0.52,0.214285714285714,0.357142857142857,1.55030261832076e-25,0.394616722859002 +"WP3888","VEGFA-VEGFR2 Signaling Pathway",286,"WP3888",438,0.92,0.255583126550869,0.359801488833747,5.53853655041636e-45,0.415827475604265 +"WP4537","Hippo-Yap signaling pathway",446,"WP4537",23,1,0.130434782608696,0.347826086956522,1.54778757247964e-06,0.425582638865984 +"WP4673","Genes involved in male infertility",483,"WP4673",155,0.55,0.223529411764706,0.352941176470588,8.15687289296435e-21,0.434708802034794 +"WP4258","LncRNA involvement in canonical Wnt signaling and colorectal cancer",378,"WP4258",104,0.73,0.276315789473684,0.342105263157895,5.00019440781505e-25,0.442641490692933 +"WP1528","Physiological and Pathological Hypertrophy of the Heart",26,"WP1528",25,0.96,0.291666666666667,0.375,1.45750470372243e-17,0.443468145964458 +"WP1539","Angiogenesis",30,"WP1539",24,1,0.25,0.375,2.08918249834541e-15,0.443468145964458 +"WP2586","Aryl Hydrocarbon Receptor Netpath",136,"WP2586",48,0.83,0.225,0.35,1.44400359316927e-08,0.452666162731714 +"WP2865","IL1 and megakaryocytes in obesity",171,"WP2865",25,0.84,0.238095238095238,0.380952380952381,5.19525794232389e-10,0.452666162731714 +"WP384","Apoptosis Modulation by HSP70",266,"WP384",19,0.95,0.166666666666667,0.388888888888889,6.96540853859659e-18,0.452666162731714 +"WP706","Sudden Infant Death Syndrome (SIDS) Susceptibility Pathways",556,"WP706",164,0.61,0.31,0.35,7.75341732836066e-26,0.452666162731714 +"WP1742","TP53 Network",45,"WP1742",20,0.9,0.222222222222222,0.388888888888889,1.28737203377495e-08,0.467750156194828 +"WP2507","Nanomaterial induced apoptosis",124,"WP2507",20,0.95,0.105263157894737,0.368421052631579,1.28737203377495e-08,0.467750156194828 +"WP2267","Synaptic Vesicle Pathway",86,"WP2267",52,0.6,0.258064516129032,0.354838709677419,6.97840140254166e-30,0.492132771972666 +"WP2038","Regulation of Microtubule Cytoskeleton",73,"WP2038",49,0.86,0.285714285714286,0.357142857142857,5.70447887867626e-23,0.498108980109511 +"WP3594","Circadian rhythm related genes",225,"WP3594",207,0.67,0.289855072463768,0.340579710144928,1.86144948015588e-42,0.502912219194388 +"WP186","Homologous recombination",51,"WP186",13,0.92,0.333333333333333,0.333333333333333,3.57124737003596e-13,0.503680038828547 +"WP4299","Lamin A-processing pathway",392,"WP4299",3,1,0.333333333333333,0.333333333333333,0.0375633720082355,0.525565992204199 +"WP26","Signal Transduction of S1P Receptor",139,"WP26",26,0.92,0.208333333333333,0.333333333333333,1.36035451223937e-09,0.537154575485495 +"WP3932","Focal Adhesion-PI3K-Akt-mTOR-signaling pathway",299,"WP3932",309,0.79,0.246913580246914,0.337448559670782,1.96319556679318e-26,0.55485006897197 +"WP3529","Zinc homeostasis",218,"WP3529",37,0.65,0.208333333333333,0.333333333333333,1.09751947262418e-13,0.559735276252208 +"WP3613","Photodynamic therapy-induced unfolded protein response",232,"WP3613",29,0.83,0.25,0.333333333333333,1.63572753987345e-09,0.592395677119481 +"WP455","GPCRs, Class A Rhodopsin-like",454,"WP455",258,0.22,0.241379310344828,0.327586206896552,1.91116166189054e-21,0.594474156958518 +"WP314","Fas Ligand (FasL) pathway and Stress induction of Heat Shock Proteins (HSP) regulation",198,"WP314",44,0.91,0.175,0.325,1.28737203377495e-08,0.596740036001061 +"WP4321","Thermogenesis",401,"WP4321",108,0.83,0.266666666666667,0.333333333333333,2.44977316588364e-24,0.602303776230422 +"WP1533","Vitamin B12 Metabolism",29,"WP1533",53,0.57,0.2,0.333333333333333,1.55030261832076e-25,0.625924461178548 +"WP254","Apoptosis",132,"WP254",86,0.93,0.225,0.3375,6.96540853859659e-18,0.630454225897172 +"WP2817","Mammary gland development pathway - Pregnancy and lactation (Stage 3 of 4)",157,"WP2817",33,0.76,0.32,0.32,8.1728342950092e-20,0.631033926043019 +"WP4286","Genotoxicity pathway",386,"WP4286",63,0.78,0.244897959183673,0.326530612244898,6.52294438984146e-17,0.633739231633592 +"WP4228","Vitamin B6-dependent and responsive disorders",370,"WP4228",5,0.8,0.25,0.25,0.00334024416831868,0.635216999029685 +"WP306","Focal Adhesion",195,"WP306",202,0.86,0.248554913294798,0.323699421965318,1.96319556679318e-26,0.661870634611933 +"WP3941","Oxidative Damage",306,"WP3941",41,0.9,0.243243243243243,0.324324324324324,1.28737203377495e-08,0.699923750757195 +"WP561","Heme Biosynthesis",533,"WP561",9,0.89,0.25,0.25,6.5794345319789e-05,0.701076830955824 +"WP4541","Hippo-Merlin Signaling Dysregulation",450,"WP4541",123,0.77,0.221052631578947,0.315789473684211,5.28168194977512e-22,0.723397294815617 +"WP2064","Neural Crest Differentiation",77,"WP2064",102,0.63,0.25,0.328125,1.94200095136959e-19,0.727478052387628 +"WP3678","Amplification and Expansion of Oncogenic Pathways as Metastatic Traits",260,"WP3678",17,1,0.117647058823529,0.294117647058824,6.04285700943382e-06,0.727478052387628 +"WP3935","Leptin Insulin Overlap",302,"WP3935",17,0.82,0.285714285714286,0.285714285714286,9.45573250233619e-09,0.741018446305419 +"WP1772","Apoptosis Modulation and Signaling",47,"WP1772",93,0.85,0.189873417721519,0.316455696202532,6.96540853859659e-18,0.744856843612274 +"WP2877","Vitamin D Receptor Pathway",178,"WP2877",186,0.63,0.271186440677966,0.322033898305085,7.99040804992212e-20,0.818823949216948 +"WP1591","Heart Development",37,"WP1591",46,0.65,0.266666666666667,0.3,1.16900918682e-14,0.842767793418932 +"WP4357","NRF2-ARE regulation",410,"WP4357",23,0.96,0.227272727272727,0.318181818181818,6.33815645362995e-08,0.87065004588454 +"WP2882","Nuclear Receptors Meta-Pathway",183,"WP2882",322,0.69,0.238738738738739,0.315315315315315,2.58938282317479e-38,0.88225486075262 +"WP2032","Human Thyroid Stimulating Hormone (TSH) signaling pathway",68,"WP2032",68,0.91,0.274193548387097,0.32258064516129,8.47368187861688e-16,0.884931793800649 +"WP3998","Prader-Willi and Angelman Syndrome",326,"WP3998",66,0.45,0.333333333333333,0.333333333333333,2.9765880724211e-12,0.892842095899067 +"WP2369","Histone Modifications",106,"WP2369",70,0.43,0.166666666666667,0.3,4.29629046913145e-07,0.898693967045816 +"WP4540","Pathways Regulating Hippo Signaling",449,"WP4540",99,0.81,0.225,0.325,1.45750470372243e-17,0.900720485325998 +"WP4022","Pyrimidine metabolism",331,"WP4022",87,0.91,0.253164556962025,0.329113924050633,3.57124737003596e-13,0.90295173404126 +"WP4484","Control of immune tolerance by vasoactive intestinal peptide",425,"WP4484",13,0.31,0,0.25,0.189083662421517,0.90837549057179 +"WP3527","Preimplantation Embryo",217,"WP3527",60,0.52,0.193548387096774,0.290322580645161,1.4645909158934e-29,0.920619031124591 +"WP408","Oxidative Stress",335,"WP408",34,0.85,0.206896551724138,0.310344827586207,2.4987918295779e-23,0.926181011736354 +"WP4297","Thiamine metabolic pathways",390,"WP4297",9,0.89,0,0.25,0.171095325811961,0.927438681383965 +"WP1984","Integrated Breast Cancer Pathway",59,"WP1984",155,0.92,0.27972027972028,0.314685314685315,3.61848623532521e-17,0.929014479457768 +"WP3972","PDGFR-beta pathway",320,"WP3972",29,1,0.241379310344828,0.275862068965517,1.45750470372243e-17,0.936983896443534 +"WP15","Selenium Micronutrient Network",25,"WP15",92,0.54,0.2,0.32,1.55030261832076e-25,0.94158668008034 +"WP1423","Ganglio Sphingolipid Metabolism",14,"WP1423",13,0.62,0.25,0.25,4.87851969602103e-17,0.954898577153562 +"WP4298","Viral Acute Myocarditis",391,"WP4298",85,0.82,0.228571428571429,0.314285714285714,1.55030261832076e-25,0.960973679911299 +"WP2374","Oncostatin M Signaling Pathway",109,"WP2374",66,0.97,0.25,0.3125,1.45750470372243e-17,0.962619223865447 +"WP3850","Factors and pathways affecting insulin-like growth factor (IGF1)-Akt signaling",270,"WP3850",31,0.94,0.241379310344828,0.310344827586207,2.9447393377517e-11,0.979681670178472 +"WP3657","Hematopoietic Stem Cell Gene Regulation by GABP alpha/beta Complex",250,"WP3657",22,0.86,0.315789473684211,0.315789473684211,1.28737203377495e-08,0.990973876560315 +"WP465","Tryptophan metabolism",474,"WP465",42,0.64,0.259259259259259,0.333333333333333,1.2733947666864e-33,0.991085216247916 +"WP1541","Energy Metabolism",31,"WP1541",48,0.88,0.30952380952381,0.333333333333333,4.7856489956754e-16,0.991457884585696 +"WP4148","Splicing factor NOVA regulated synaptic proteins",343,"WP4148",42,0.74,0.258064516129032,0.32258064516129,8.59680057967434e-17,0.99308777325874 +"WP2380","Brain-Derived Neurotrophic Factor (BDNF) signaling pathway",110,"WP2380",144,0.85,0.227642276422764,0.284552845528455,2.46076597989882e-17,0.993357395961217 +"WP183","Proteasome Degradation",49,"WP183",64,0.91,0.189655172413793,0.258620689655172,0.000102727400071607,0.993739319892961 +"WP3942","PPAR signaling pathway",307,"WP3942",67,0.67,0.244444444444444,0.266666666666667,4.45382103461115e-22,0.993946338790036 +"WP4341","Non-genomic actions of 1,25 dihydroxyvitamin D3",407,"WP4341",71,0.82,0.224137931034483,0.310344827586207,1.55030261832076e-25,0.997223465039722 +"WP2036","TNF related weak inducer of apoptosis (TWEAK) Signaling Pathway",71,"WP2036",42,0.95,0.2,0.3,1.55030261832076e-25,0.998306181536745 +"WP262","EBV LMP1 signaling",140,"WP262",24,0.83,0.2,0.3,1.31802719833037e-09,0.998306181536745 +"WP4008","NO/cGMP/PKG mediated Neuroprotection",328,"WP4008",48,0.52,0.24,0.32,3.3920313877351e-19,0.998306181536745 +"WP4480","Role of Altered Glycolysation of MUC1 in Tumour Microenvironment",421,"WP4480",9,0.89,0.125,0.25,1.55030261832076e-25,0.998306181536745 +"WP411","mRNA Processing",337,"WP411",133,0.92,0.204918032786885,0.286885245901639,7.40715848733595e-20,0.999556795185293 +"WP4290","Metabolic reprogramming in colon cancer",388,"WP4290",44,0.89,0.230769230769231,0.282051282051282,1.21134935033961e-14,0.999559974562214 +"WP2583","T-Cell Receptor and Co-stimulatory Signaling",135,"WP2583",29,0.93,0.0740740740740741,0.185185185185185,0.0020390189701393,0.999564052655054 +"WP2113","Type III interferon signaling",79,"WP2113",10,0.6,0.333333333333333,0.333333333333333,0.000341914298724229,0.999577405939352 +"WP2203","Thymic Stromal LymphoPoietin (TSLP) Signaling Pathway",83,"WP2203",47,0.96,0.2,0.266666666666667,1.55030261832076e-25,0.999581638329153 +"WP3929","Chemokine signaling pathway",296,"WP3929",165,0.75,0.233870967741935,0.306451612903226,1.11151548949677e-22,0.999581638329153 +"WP2878","PPAR Alpha Pathway",179,"WP2878",26,0.62,0.3125,0.3125,2.35000378034819e-10,0.999593630002801 +"WP4211","Transcriptional cascade regulating adipogenesis",361,"WP4211",13,1,0.307692307692308,0.307692307692308,3.05550468161626e-32,0.999597380647255 +"WP395","IL-4 Signaling Pathway",312,"WP395",55,0.96,0.169811320754717,0.264150943396226,1.21006371795151e-15,0.999598637344068 +"WP4756","Renin Angiotensin Aldosterone System (RAAS)",506,"WP4756",44,0.64,0.214285714285714,0.285714285714286,3.79036700534385e-25,0.999600844420397 +"WP2037","Prolactin Signaling Pathway",72,"WP2037",76,0.96,0.164383561643836,0.246575342465753,1.21006371795151e-15,0.999622158178795 +"WP3646","Hepatitis C and Hepatocellular Carcinoma",246,"WP3646",50,0.88,0.25,0.340909090909091,1.55030261832076e-25,0.999661972130556 +"WP3414","Initiation of transcription and translation elongation at the HIV-1 LTR",215,"WP3414",37,0.73,0.259259259259259,0.296296296296296,1.30274002920557e-12,0.999679395222021 +"WP1422","Sphingolipid pathway",13,"WP1422",30,0.8,0.166666666666667,0.25,3.69949076638916e-07,0.999680873684117 +"WP4142","Metabolism of Spingolipids in ER and Golgi apparatus",340,"WP4142",20,0.75,0.2,0.2,1.78651764239784e-05,0.999680873684117 +"WP4725","Sphingolipid Metabolism (general overview)",496,"WP4725",24,0.83,0.2,0.25,1.3073328528498e-06,0.999680873684117 +"WP2359","Parkin-Ubiquitin Proteasomal System pathway",101,"WP2359",70,0.84,0.152542372881356,0.23728813559322,1.33825325438479e-13,0.999692096078023 +"WP2911","miRNA targets in ECM and membrane receptors",188,"WP2911",43,0.51,0.227272727272727,0.272727272727273,1.96319556679318e-26,0.999694369321929 +"WP4262","Breast cancer pathway",380,"WP4262",157,0.77,0.214876033057851,0.28099173553719,8.1728342950092e-20,0.999736194038243 +"WP2636","Common Pathways Underlying Drug Addiction",141,"WP2636",42,0.57,0.166666666666667,0.25,8.80436312071741e-23,0.999745706039956 +"WP2828","Bladder Cancer",159,"WP2828",41,0.93,0.184210526315789,0.289473684210526,2.88662493064661e-07,0.999745706039956 +"WP3612","Photodynamic therapy-induced NFE2L2 (NRF2) survival signaling",231,"WP3612",24,0.88,0.0952380952380952,0.238095238095238,1.21006371795151e-15,0.999752419955776 +"WP4312","Rett syndrome causing genes",398,"WP4312",49,0.76,0.216216216216216,0.297297297297297,1.22943627951508e-14,0.999766525303437 +"WP2533","Glycerophospholipid Biosynthetic Pathway",130,"WP2533",30,0.83,0.08,0.16,3.98592395806362e-10,0.999787685558907 +"WP3940","One carbon metabolism and related pathways",305,"WP3940",54,0.72,0.230769230769231,0.256410256410256,2.86780567028817e-25,0.999787685558907 +"WP4657","22q11.2 Deletion Syndrome",477,"WP4657",92,0.63,0.258620689655172,0.310344827586207,5.10653311534479e-29,0.999801314777508 +"WP382","MAPK Signaling Pathway",264,"WP382",249,0.78,0.261538461538462,0.302564102564103,5.53853655041636e-45,0.999829075430104 +"WP4666","Hepatitis B infection",482,"WP4666",154,0.84,0.2,0.276923076923077,1.55030261832076e-25,0.999846173141814 +"WP107","Translation Factors",3,"WP107",54,0.87,0.234042553191489,0.276595744680851,8.52450711689985e-13,0.999852323093054 +"WP1424","Globo Sphingolipid Metabolism",15,"WP1424",21,0.95,0.2,0.2,4.87851969602103e-17,0.999852323093054 +"WP1584","Type II diabetes mellitus",35,"WP1584",22,0.64,0.142857142857143,0.142857142857143,7.99040804992212e-20,0.999852323093054 +"WP2018","RANKL/RANK (Receptor activator of NFKB (ligand)) Signaling Pathway",65,"WP2018",55,0.95,0.0961538461538462,0.192307692307692,1.21006371795151e-15,0.999852323093054 +"WP231","TNF alpha Signaling Pathway",94,"WP231",94,0.94,0.204545454545455,0.284090909090909,1.55030261832076e-25,0.999852323093054 +"WP2371","Parkinsons Disease Pathway",108,"WP2371",84,0.37,0.193548387096774,0.290322580645161,6.96540853859659e-18,0.999852323093054 +"WP244","Alpha 6 Beta 4 signaling pathway",116,"WP244",35,0.94,0.121212121212121,0.181818181818182,2.61142544133486e-11,0.999852323093054 +"WP2453","TCA Cycle and Deficiency of Pyruvate Dehydrogenase complex (PDHc)",119,"WP2453",16,0.94,0.0666666666666667,0.0666666666666667,1.10524321914212e-13,0.999852323093054 +"WP2456","HIF1A and PPARG regulation of glycolysis",120,"WP2456",8,0.75,0.166666666666667,0.166666666666667,0.00320215171958638,0.999852323093054 +"WP2854","Gene regulatory network modelling somitogenesis ",165,"WP2854",11,0.55,0.166666666666667,0.166666666666667,0.0396104615656672,0.999852323093054 +"WP2870","Extracellular vesicle-mediated signaling in recipient cells",173,"WP2870",30,0.9,0.185185185185185,0.222222222222222,1.47923810515956e-16,0.999852323093054 +"WP3","Phytochemical activity on NRF2 transcriptional activation",193,"WP3",15,0.93,0.0714285714285714,0.214285714285714,0.00237947159212301,0.999852323093054 +"WP3286","Copper homeostasis",201,"WP3286",54,0.87,0.234042553191489,0.297872340425532,3.71596808468601e-16,0.999852323093054 +"WP3298","Melatonin metabolism and effects",204,"WP3298",42,0.62,0.269230769230769,0.307692307692308,1.86144948015588e-42,0.999852323093054 +"WP3413","NOTCH1 regulation of human endothelial cell calcification",214,"WP3413",18,0.89,0.125,0.125,2.23804617426945e-12,0.999852323093054 +"WP3601","Composition of Lipid Particles",229,"WP3601",10,0.4,0,0.25,0.191601747736878,0.999852323093054 +"WP3633","Caffeine and Theobromine metabolism",239,"WP3633",4,0.25,0,0,0.999852323093054,0.999852323093054 +"WP3664","Regulation of Wnt/B-catenin Signaling by Small Molecule Compounds",253,"WP3664",18,0.89,0.1875,0.3125,8.33920870140507e-09,0.999852323093054 +"WP3845","Canonical and Non-canonical Notch signaling",268,"WP3845",27,0.81,0.0909090909090909,0.181818181818182,0.000608063456248664,0.999852323093054 +"WP3859","TGF-B Signaling in Thyroid Cells for Epithelial-Mesenchymal Transition",274,"WP3859",18,0.94,0.0588235294117647,0.0588235294117647,2.97846854097459e-06,0.999852323093054 +"WP3931","ESC Pluripotency Pathways",298,"WP3931",119,0.7,0.265060240963855,0.289156626506024,1.04633266994318e-15,0.999852323093054 +"WP3945","TYROBP Causal Network",310,"WP3945",63,0.9,0.12280701754386,0.175438596491228,1.51229007711679e-12,0.999852323093054 +"WP3965","Lipid Metabolism Pathway",316,"WP3965",29,0.9,0.269230769230769,0.269230769230769,1.10524321914212e-13,0.999852323093054 +"WP3982","miRNA regulation of p53 pathway in prostate cancer",322,"WP3982",34,0.68,0.0869565217391304,0.217391304347826,4.32292432502445e-07,0.999852323093054 +"WP4153","Degradation pathway of sphingolipids, including diseases",346,"WP4153",10,0.8,0,0,0.999852323093054,0.999852323093054 +"WP4156","Biosynthesis and regeneration of tetrahydrobiopterin (BH4) and catabolism of phenylalanine, including diseases",348,"WP4156",2,1,0,0,0.999852323093054,0.999852323093054 +"WP4159","GABA receptor Signaling",349,"WP4159",33,0.39,0.0769230769230769,0.0769230769230769,0.0013300266749614,0.999852323093054 +"WP4220","Neurotransmitter Disorders",365,"WP4220",4,0.25,0,0,0.999852323093054,0.999852323093054 +"WP43","Oxidation by Cytochrome P450",393,"WP43",63,0.48,0.133333333333333,0.166666666666667,7.53565262981462e-07,0.999852323093054 +"WP4320","The effect of progerin on the involved genes in Hutchinson-Gilford Progeria Syndrome",400,"WP4320",39,0.56,0.227272727272727,0.227272727272727,5.61788394294512e-16,0.999852323093054 +"WP4342","Vitamins A and D - action mechanisms",408,"WP4342",3,1,0.333333333333333,0.333333333333333,1.20099662033474e-06,0.999852323093054 +"WP437","EGF/EGFR Signaling Pathway",411,"WP437",164,0.95,0.206451612903226,0.232258064516129,1.4645909158934e-29,0.999852323093054 +"WP4482","Vitamin D in inflammatory diseases",423,"WP4482",22,0.95,0.19047619047619,0.285714285714286,1.16949610776226e-27,0.999852323093054 +"WP4483","Relationship between inflammation, COX-2 and EGFR",424,"WP4483",25,0.88,0.272727272727273,0.318181818181818,6.500496706318e-05,0.999852323093054 +"WP4519","Cerebral Organic Acidurias, including diseases",435,"WP4519",7,1,0.285714285714286,0.285714285714286,1.97077141104003e-05,0.999852323093054 +"WP4522","Metabolic pathway of LDL, HDL and TG, including diseases",437,"WP4522",17,0.53,0,0.222222222222222,0.0725218231021907,0.999852323093054 +"WP4535","Envelope proteins and their potential roles in EDMD physiopathology",444,"WP4535",46,0.89,0.24390243902439,0.268292682926829,1.11151548949677e-22,0.999852323093054 +"WP4549","Fragile X Syndrome ",453,"WP4549",123,0.76,0.172043010752688,0.21505376344086,6.52294438984146e-17,0.999852323093054 +"WP4562","Canonical NF-KB pathway",460,"WP4562",8,1,0,0.125,0.452666162731714,0.999852323093054 +"WP4585","Cancer immunotherapy by PD-1 blockade",469,"WP4585",24,0.88,0.0952380952380952,0.19047619047619,2.79548473355309e-05,0.999852323093054 +"WP4724","Omega-9 FA synthesis",495,"WP4724",16,0.75,0.166666666666667,0.25,9.83107916736652e-08,0.999852323093054 +"WP4758","Nephrotic syndrome",507,"WP4758",45,0.73,0.151515151515152,0.181818181818182,7.19331431961561e-10,0.999852323093054 +"WP550","Biogenic Amine Synthesis",529,"WP550",16,0.19,0.333333333333333,0.333333333333333,0.0013300266749614,0.999852323093054 +"WP100","Glutathione metabolism",1,"WP100",23,0.7,0.0625,0.0625,2.4987918295779e-23,0.999852323093054 +"WP106","Alanine and aspartate metabolism",2,"WP106",12,0.58,0.142857142857143,0.142857142857143,0.0013300266749614,0.999852323093054 +"WP111","Electron Transport Chain (OXPHOS system in mitochondria)",4,"WP111",106,0.66,0.0714285714285714,0.128571428571429,1.43014316833318e-19,0.999852323093054 +"WP12","Osteoclast Signaling",6,"WP12",16,0.75,0.166666666666667,0.25,1.51229007711679e-12,0.999852323093054 +"WP134","Pentose Phosphate Metabolism",9,"WP134",7,1,0,0.142857142857143,0.154107526146787,0.999852323093054 +"WP1403","AMP-activated Protein Kinase (AMPK) Signaling",12,"WP1403",69,0.81,0.178571428571429,0.25,7.99040804992212e-20,0.999852323093054 +"WP143","Fatty Acid Beta Oxidation",17,"WP143",34,0.79,0.111111111111111,0.111111111111111,6.0888051023505e-05,0.999852323093054 +"WP1433","Nucleotide-binding Oligomerization Domain (NOD) pathway",18,"WP1433",41,0.78,0.0625,0.125,4.08325260581342e-05,0.999852323093054 +"WP1449","Regulation of toll-like receptor signaling pathway",21,"WP1449",145,0.77,0.117117117117117,0.198198198198198,1.55030261832076e-25,0.999852323093054 +"WP1471","Target Of Rapamycin (TOR) Signaling",23,"WP1471",37,0.92,0.0882352941176471,0.117647058823529,8.28904921253337e-06,0.999852323093054 +"WP1531","Vitamin D Metabolism",28,"WP1531",10,0.7,0.285714285714286,0.285714285714286,2.36116814219851e-05,0.999852323093054 +"WP1544","MicroRNAs in cardiomyocyte hypertrophy",32,"WP1544",101,0.75,0.223684210526316,0.263157894736842,1.45750470372243e-17,0.999852323093054 +"WP1589","Folate-Alcohol and Cancer Pathway Hypotheses",36,"WP1589",9,0.89,0.125,0.25,2.91348117795513e-05,0.999852323093054 +"WP185","Integrin-mediated Cell Adhesion",50,"WP185",104,0.84,0.195402298850575,0.218390804597701,5.28168194977512e-22,0.999852323093054 +"WP1941","Peroxisomal beta-oxidation of tetracosanoyl-CoA",52,"WP1941",4,1,0,0,0.999852323093054,0.999852323093054 +"WP195","IL-1 signaling pathway",54,"WP195",57,0.96,0.127272727272727,0.181818181818182,1.5288509675647e-18,0.999852323093054 +"WP197","Cholesterol Biosynthesis Pathway",55,"WP197",15,0.93,0.214285714285714,0.285714285714286,2.36116814219851e-05,0.999852323093054 +"WP1982","Sterol Regulatory Element-Binding Proteins (SREBP) signalling",58,"WP1982",73,0.88,0.140625,0.171875,1.10524321914212e-13,0.999852323093054 +"WP2035","Follicle Stimulating Hormone (FSH) signaling pathway",70,"WP2035",27,0.81,0.181818181818182,0.272727272727273,1.84528135455106e-08,0.999852323093054 +"WP205","IL-7 Signaling Pathway",74,"WP205",25,1,0.16,0.2,0.000601597866207179,0.999852323093054 +"WP2112","IL17 signaling pathway",78,"WP2112",32,0.84,0.148148148148148,0.222222222222222,1.31802719833037e-09,0.999852323093054 +"WP22","IL-9 Signaling Pathway",82,"WP22",19,0.79,0.0666666666666667,0.0666666666666667,0.000601597866207179,0.999852323093054 +"WP2249","Metastatic brain tumor",84,"WP2249",28,0.21,0.166666666666667,0.333333333333333,0.00291300857028192,0.999852323093054 +"WP2261","Signaling Pathways in Glioblastoma",85,"WP2261",83,0.96,0.2375,0.25,1.45750470372243e-17,0.999852323093054 +"WP2272","Pathogenic Escherichia coli infection",87,"WP2272",55,0.85,0.0851063829787234,0.191489361702128,4.18564642105688e-07,0.999852323093054 +"WP2289","Drug Induction of Bile Acid Pathway",89,"WP2289",17,0.24,0.25,0.25,6.49286728094462e-06,0.999852323093054 +"WP2291","Deregulation of Rab and Rab Effector Genes in Bladder Cancer",92,"WP2291",16,0.94,0.266666666666667,0.266666666666667,3.11005970071626e-15,0.999852323093054 +"WP2324","AGE/RAGE pathway",95,"WP2324",66,0.95,0.142857142857143,0.206349206349206,1.45750470372243e-17,0.999852323093054 +"WP2333","Trans-sulfuration pathway",98,"WP2333",10,1,0.2,0.2,7.49087453817701e-07,0.999852323093054 +"WP2436","Dopamine metabolism",115,"WP2436",14,0.64,0.222222222222222,0.222222222222222,6.78665345557183e-11,0.999852323093054 +"WP2447","Amyotrophic lateral sclerosis (ALS)",118,"WP2447",38,0.79,0.166666666666667,0.3,1.30274002920557e-12,0.999852323093054 +"WP2485","NAD Biosynthesis II (from tryptophan)",122,"WP2485",8,0.75,0.166666666666667,0.166666666666667,1.2733947666864e-33,0.999852323093054 +"WP2509","Nanoparticle triggered autophagic cell death",125,"WP2509",24,0.88,0.142857142857143,0.142857142857143,1.28737203377495e-08,0.999852323093054 +"WP2513","Nanoparticle triggered regulated necrosis",126,"WP2513",12,0.92,0,0,0.795485118928105,0.999852323093054 +"WP2526","PDGF Pathway",129,"WP2526",40,0.98,0.0769230769230769,0.128205128205128,1.21006371795151e-15,0.999852323093054 +"WP2572","Primary Focal Segmental Glomerulosclerosis FSGS",134,"WP2572",74,0.78,0.275862068965517,0.310344827586207,4.81412003815079e-10,0.999852323093054 +"WP2637","Structural Pathway of Interleukin 1 (IL-1)",142,"WP2637",50,0.98,0.142857142857143,0.204081632653061,1.21006371795151e-15,0.999852323093054 +"WP2643","Nanoparticle-mediated activation of receptor signaling",144,"WP2643",29,0.97,0.178571428571429,0.214285714285714,0.00101315545629077,0.999852323093054 +"WP268","Notch Signaling",147,"WP268",47,0.85,0.175,0.225,6.84417911248327e-08,0.999852323093054 +"WP2805","exRNA mechanism of action and biogenesis",151,"WP2805",8,0.62,0.2,0.2,0.000217368536815086,0.999852323093054 +"WP2813","Mammary gland development pathway - Embryonic development (Stage 1 of 4)",153,"WP2813",18,0.61,0.272727272727273,0.272727272727273,1.1219536394885e-16,0.999852323093054 +"WP2853","Endoderm Differentiation",164,"WP2853",146,0.77,0.223214285714286,0.258928571428571,5.00019440781505e-25,0.999852323093054 +"WP2857","Mesodermal Commitment Pathway",167,"WP2857",157,0.74,0.206896551724138,0.258620689655172,5.00019440781505e-25,0.999852323093054 +"WP286","IL-3 Signaling Pathway",169,"WP286",49,0.9,0.159090909090909,0.204545454545455,1.21006371795151e-15,0.999852323093054 +"WP2864","Apoptosis-related network due to altered Notch3 in ovarian cancer",170,"WP2864",54,0.93,0.16,0.28,4.12289297028431e-17,0.999852323093054 +"WP2868","TCA Cycle Nutrient Utilization and Invasiveness of Ovarian Cancer",172,"WP2868",5,1,0,0,0.999852323093054,0.999852323093054 +"WP2873","Aryl Hydrocarbon Receptor Pathway",174,"WP2873",48,0.65,0.129032258064516,0.225806451612903,4.12289297028431e-17,0.999852323093054 +"WP2875","Constitutive Androstane Receptor Pathway",176,"WP2875",32,0.53,0.176470588235294,0.235294117647059,2.9447393377517e-11,0.999852323093054 +"WP2876","Pregnane X Receptor pathway",177,"WP2876",33,0.55,0.166666666666667,0.222222222222222,2.9447393377517e-11,0.999852323093054 +"WP288","NLR Proteins",181,"WP288",9,0.89,0.125,0.125,0.00237947159212301,0.999852323093054 +"WP2884","NRF2 pathway",184,"WP2884",146,0.66,0.1875,0.260416666666667,2.4987918295779e-23,0.999852323093054 +"WP2889","Oxytocin signaling",185,"WP2889",4,0.5,0,0,0.999852323093054,0.999852323093054 +"WP2916","Interactome of polycomb repressive complex 2 (PRC2) ",189,"WP2916",17,0.94,0.1875,0.3125,6.05665966147348e-07,0.999852323093054 +"WP2942","DDX1 as a regulatory component of the Drosha microprocessor",190,"WP2942",9,0.67,0,0,0.990973876560315,0.999852323093054 +"WP299","Nuclear Receptors in Lipid Metabolism and Toxicity",192,"WP299",35,0.46,0.25,0.25,1.20099662033474e-06,0.999852323093054 +"WP304","Kit receptor signaling pathway",194,"WP304",60,0.98,0.169491525423729,0.220338983050847,1.45750470372243e-17,0.999852323093054 +"WP311","Synthesis and Degradation of Ketone Bodies",196,"WP311",5,1,0.2,0.2,6.0888051023505e-05,0.999852323093054 +"WP313","Signaling of Hepatocyte Growth Factor Receptor",197,"WP313",34,1,0.176470588235294,0.205882352941176,1.21006371795151e-15,0.999852323093054 +"WP325","Triacylglyceride Synthesis",200,"WP325",26,0.54,0,0,0.999852323093054,0.999852323093054 +"WP3300","Dual hijack model of Vif in HIV infection",206,"WP3300",9,0.67,0,0.166666666666667,0.118228105072828,0.999852323093054 +"WP3302","eIF5A regulation in response to inhibition of the nuclear export system",208,"WP3302",4,0.75,0.333333333333333,0.333333333333333,0.00071352422837791,0.999852323093054 +"WP3303","RAC1/PAK1/p38/MMP2 Pathway",209,"WP3303",69,0.9,0.225806451612903,0.274193548387097,3.11796204582401e-18,0.999852323093054 +"WP357","Fatty Acid Biosynthesis",219,"WP357",22,0.91,0.2,0.2,1.10524321914212e-13,0.999852323093054 +"WP3593","MicroRNA for Targeting Cancer Growth and Vascularization in Glioblastoma",224,"WP3593",9,0.78,0,0,0.999852323093054,0.999852323093054 +"WP363","Wnt Signaling Pathway (Netpath)",237,"WP363",53,0.91,0.208333333333333,0.208333333333333,1.45750470372243e-17,0.999852323093054 +"WP3630","NAD metabolism, sirtuins and aging",238,"WP3630",11,0.91,0.2,0.3,2.25748011539398e-08,0.999852323093054 +"WP3634","Insulin signalling in human adipocytes (normal condition)",240,"WP3634",8,1,0.125,0.125,7.99040804992212e-20,0.999852323093054 +"WP3635","Insulin signalling in human adipocytes (diabetic condition)",241,"WP3635",8,1,0.125,0.125,7.99040804992212e-20,0.999852323093054 +"WP364","IL-6 signaling pathway",242,"WP364",43,0.95,0.24390243902439,0.24390243902439,1.55030261832076e-25,0.999852323093054 +"WP3644","NAD+ metabolism",244,"WP3644",16,0.88,0.142857142857143,0.285714285714286,2.25748011539398e-08,0.999852323093054 +"WP3645","NAD+ biosynthetic pathways",245,"WP3645",22,0.77,0.176470588235294,0.294117647058824,2.25748011539398e-08,0.999852323093054 +"WP3651","Pathways Affected in Adenoid Cystic Carcinoma",247,"WP3651",66,0.85,0.196428571428571,0.25,2.89465973850597e-12,0.999852323093054 +"WP3655","Hypothetical Craniofacial Development Pathway",248,"WP3655",8,0.75,0.166666666666667,0.166666666666667,0.00407427421601939,0.999852323093054 +"WP3656","Interleukin-1 Induced Activation of NF-kappa-B",249,"WP3656",11,0.91,0.1,0.2,0.00279989180752429,0.999852323093054 +"WP3658","Wnt/beta-catenin Signaling Pathway in Leukemia",251,"WP3658",26,0.81,0.333333333333333,0.333333333333333,1.28160819617811e-23,0.999852323093054 +"WP366","TGF-beta Signaling Pathway",252,"WP366",133,0.96,0.2109375,0.234375,1.4645909158934e-29,0.999852323093054 +"WP3668","Hypothesized Pathways in Pathogenesis of Cardiovascular Disease",255,"WP3668",25,0.92,0.217391304347826,0.304347826086957,1.91116166189054e-21,0.999852323093054 +"WP3674","Tgif disruption of Shh signaling",258,"WP3674",9,0.44,0,0,0.999852323093054,0.999852323093054 +"WP3676","BDNF-TrkB Signaling",259,"WP3676",34,0.88,0.166666666666667,0.2,1.84528135455106e-08,0.999852323093054 +"WP368","Mitochondrial LC-Fatty Acid Beta-Oxidation",262,"WP368",17,0.94,0.0625,0.0625,0.0167383786864681,0.999852323093054 +"WP3680","Association Between Physico-Chemical Features and Toxicity Associated Pathways",263,"WP3680",68,0.81,0.163636363636364,0.2,1.46702371634426e-15,0.999852323093054 +"WP3844","PI3K-AKT-mTOR signaling pathway and therapeutic opportunities",267,"WP3844",30,1,0.2,0.2,6.62772818839576e-10,0.999852323093054 +"WP3849","MAPK and NFkB Signalling Pathways Inhibited by Yersinia YopJ",269,"WP3849",12,1,0.166666666666667,0.25,1.31802719833037e-09,0.999852323093054 +"WP3851","TLR4 Signaling and Tolerance",271,"WP3851",30,0.83,0.08,0.16,1.55030261832076e-25,0.999852323093054 +"WP3853","ERK Pathway in Huntington's Disease",272,"WP3853",15,0.87,0.230769230769231,0.307692307692308,1.84528135455106e-08,0.999852323093054 +"WP3858","Toll-like Receptor Signaling related to MyD88",273,"WP3858",32,0.84,0,0.111111111111111,0.114048118916392,0.999852323093054 +"WP3863","T-Cell antigen Receptor (TCR) pathway during Staphylococcus aureus infection",275,"WP3863",62,0.81,0.14,0.22,1.21006371795151e-15,0.999852323093054 +"WP3865","Novel intracellular components of RIG-I-like receptor (RLR) pathway",276,"WP3865",61,0.84,0.137254901960784,0.235294117647059,3.37870774082303e-13,0.999852323093054 +"WP3869","Cannabinoid receptor signaling",277,"WP3869",29,0.79,0.0869565217391304,0.130434782608696,3.92161302035637e-08,0.999852323093054 +"WP3871","Valproic acid pathway",278,"WP3871",13,0.62,0.125,0.125,0.0102047891408715,0.999852323093054 +"WP3874","Canonical and Non-Canonical TGF-B signaling",280,"WP3874",17,1,0.0588235294117647,0.235294117647059,1.47923810515956e-16,0.999852323093054 +"WP3877","Simplified Depiction of MYD88 Distinct Input-Output Pathway",283,"WP3877",19,0.74,0,0.214285714285714,0.0594386193019534,0.999852323093054 +"WP3878","ATM Signaling Network in Development and Disease ",284,"WP3878",46,0.89,0.219512195121951,0.268292682926829,2.50026382158374e-16,0.999852323093054 +"WP3879","4-hydroxytamoxifen, Dexamethasone, and Retinoic Acids Regulation of p27 Expression",285,"WP3879",18,1,0.111111111111111,0.111111111111111,2.45237666239285e-07,0.999852323093054 +"WP391","Mitochondrial Gene Expression",290,"WP391",20,0.8,0.125,0.1875,2.9447393377517e-11,0.999852323093054 +"WP3924","Hfe effect on hepcidin production",292,"WP3924",7,0.57,0.25,0.25,0.00378182889135815,0.999852323093054 +"WP3925","Amino Acid metabolism",293,"WP3925",91,0.73,0.166666666666667,0.227272727272727,2.58938282317479e-38,0.999852323093054 +"WP3927","BMP Signaling Pathway in Eyelid Development",295,"WP3927",20,0.8,0.1875,0.25,1.1219536394885e-16,0.999852323093054 +"WP3933","Kennedy pathway from Sphingolipids",300,"WP3933",15,0.8,0.0833333333333333,0.0833333333333333,0.000153115641692463,0.999852323093054 +"WP3934","Leptin and adiponectin",301,"WP3934",10,0.8,0.125,0.125,1.13349503425421e-06,0.999852323093054 +"WP3937","Microglia Pathogen Phagocytosis Pathway",303,"WP3937",40,0.9,0.0833333333333333,0.0833333333333333,1.57756315705304e-09,0.999852323093054 +"WP3938","miR-222 in Exercise-Induced Cardiac Growth",304,"WP3938",4,1,0,0,0.999852323093054,0.999852323093054 +"WP3943","Robo4 and VEGF Signaling Pathways Crosstalk",308,"WP3943",6,1,0.333333333333333,0.333333333333333,1.76304737966141e-10,0.999852323093054 +"WP3969","H19 action Rb-E2F1 signaling and CDK-Beta-catenin activity",318,"WP3969",16,0.88,0.214285714285714,0.214285714285714,7.1806031181162e-15,0.999852323093054 +"WP3971","Role of Osx and miRNAs in tooth development",319,"WP3971",36,0.28,0.2,0.2,1.74501293167954e-14,0.999852323093054 +"WP3981","miRNA regulation of prostate cancer signaling pathways",321,"WP3981",59,0.54,0.15625,0.21875,1.28737203377495e-08,0.999852323093054 +"WP399","Wnt Signaling Pathway and Pluripotency",323,"WP399",107,0.8,0.232558139534884,0.290697674418605,1.45750470372243e-17,0.999852323093054 +"WP400","p38 MAPK Signaling Pathway",327,"WP400",34,0.97,0.181818181818182,0.242424242424242,4.7856489956754e-16,0.999852323093054 +"WP4018","Pathways in clear cell renal cell carcinoma",330,"WP4018",87,0.91,0.164556962025316,0.189873417721519,1.10524321914212e-13,0.999852323093054 +"WP405","Eukaryotic Transcription Initiation",334,"WP405",43,0.95,0.0975609756097561,0.146341463414634,2.41984712730741e-07,0.999852323093054 +"WP410","Exercise-induced Circadian Regulation",336,"WP410",49,0.9,0.272727272727273,0.295454545454545,1.86144948015588e-42,0.999852323093054 +"WP4136","Fibrin Complement Receptor 3 Signaling Pathway",338,"WP4136",42,0.71,0.0666666666666667,0.166666666666667,1.55030261832076e-25,0.999852323093054 +"WP4141","PI3K/AKT/mTOR - VitD3 Signalling",339,"WP4141",22,0.86,0.263157894736842,0.263157894736842,3.87043570690072e-12,0.999852323093054 +"WP4146","Macrophage markers",341,"WP4146",9,1,0,0.111111111111111,0.21102640351702,0.999852323093054 +"WP4150","Wnt Signaling in Kidney Disease",345,"WP4150",39,0.69,0.222222222222222,0.222222222222222,8.33920870140507e-09,0.999852323093054 +"WP4155","Endometrial cancer",347,"WP4155",63,0.94,0.152542372881356,0.220338983050847,1.04633266994318e-15,0.999852323093054 +"WP4186","Somatroph axis (GH) and its relationship to dietary restriction and aging",352,"WP4186",6,1,0.333333333333333,0.333333333333333,2.25748011539398e-08,0.999852323093054 +"WP4189","Mevalonate arm of cholesterol biosynthesis pathway with inhibitors",353,"WP4189",2,1,0,0,0.999852323093054,0.999852323093054 +"WP4197","The human immune response to tuberculosis",356,"WP4197",23,1,0.130434782608696,0.130434782608696,0.000341914298724229,0.999852323093054 +"WP4205","MET in type 1 papillary renal cell carcinoma",358,"WP4205",59,0.88,0.115384615384615,0.173076923076923,3.90142119029615e-06,0.999852323093054 +"WP4206","Hereditary leiomyomatosis and renal cell carcinoma pathway",359,"WP4206",20,0.95,0.105263157894737,0.210526315789474,2.03101031117154e-10,0.999852323093054 +"WP4210","Tryptophan catabolism leading to NAD+ production",360,"WP4210",16,0.69,0.0909090909090909,0.0909090909090909,1.2733947666864e-33,0.999852323093054 +"WP4217","Ebola Virus Pathway on Host",363,"WP4217",132,0.89,0.135593220338983,0.186440677966102,7.15702783093164e-17,0.999852323093054 +"WP422","MAPK Cascade",364,"WP422",33,1,0.212121212121212,0.272727272727273,1.06179313771239e-06,0.999852323093054 +"WP4223","Ras Signaling",367,"WP4223",186,0.76,0.204225352112676,0.26056338028169,2.6982385516733e-21,0.999852323093054 +"WP4236","Disorders of the Krebs cycle",372,"WP4236",7,1,0.142857142857143,0.142857142857143,0.000542153786249434,0.999852323093054 +"WP4239","Epithelial to mesenchymal transition in colorectal cancer",373,"WP4239",164,0.78,0.1953125,0.2578125,5.10653311534479e-29,0.999852323093054 +"WP4241","Type 2 papillary renal cell carcinoma",375,"WP4241",36,0.83,0.133333333333333,0.166666666666667,6.62772818839576e-10,0.999852323093054 +"WP4255","Non-small cell lung cancer",377,"WP4255",72,0.93,0.149253731343284,0.238805970149254,1.45750470372243e-17,0.999852323093054 +"WP4263","Pancreatic adenocarcinoma pathway",381,"WP4263",89,0.96,0.141176470588235,0.211764705882353,1.47923810515956e-16,0.999852323093054 +"WP4271","Vitamin B12 Disorders",383,"WP4271",13,0.69,0,0.222222222222222,0.105553301023444,0.999852323093054 +"WP4292","Methionine metabolism leading to Sulphur Amino Acids and related disorders",389,"WP4292",11,0.82,0.222222222222222,0.222222222222222,5.6500805039415e-14,0.999852323093054 +"WP430","Statin Pathway",394,"WP430",33,0.45,0.133333333333333,0.266666666666667,0.00133659811986492,0.999852323093054 +"WP4313","Ferroptosis",399,"WP4313",40,0.9,0.138888888888889,0.194444444444444,1.14291084616521e-05,0.999852323093054 +"WP4331","Neovascularisation processes",404,"WP4331",37,1,0.189189189189189,0.27027027027027,3.37870774082303e-13,0.999852323093054 +"WP4352","Ciliary landscape",409,"WP4352",220,0.9,0.137055837563452,0.208121827411168,4.19419091059679e-15,0.999852323093054 +"WP4389","Bile Acids synthesis and enterohepatic circulation ",413,"WP4389",13,0.38,0,0.2,0.191601747736878,0.999852323093054 +"WP4396","Nonalcoholic fatty liver disease",414,"WP4396",160,0.84,0.133333333333333,0.207407407407407,1.55030261832076e-25,0.999852323093054 +"WP4397","Model for regulation of MSMP expression in cancer cells and its proangiogenic role in ovarian tumors",415,"WP4397",3,0.67,0,0,0.999852323093054,0.999852323093054 +"WP4478","LTF danger signal response pathway",419,"WP4478",20,0.7,0.0714285714285714,0.214285714285714,1.55030261832076e-25,0.999852323093054 +"WP4479","Supression of HMGB1 mediated inflammation by THBD",420,"WP4479",9,1,0,0.111111111111111,0.452666162731714,0.999852323093054 +"WP4494","Selective expression of chemokine receptors during T-cell polarization",427,"WP4494",29,0.55,0.0625,0.125,0.00407427421601939,0.999852323093054 +"WP4496","Signal transduction through IL1R",429,"WP4496",35,0.86,0.133333333333333,0.233333333333333,1.55030261832076e-25,0.999852323093054 +"WP4504","Cysteine and methionine catabolism",431,"WP4504",15,0.87,0.153846153846154,0.153846153846154,5.6500805039415e-14,0.999852323093054 +"WP4506","Tyrosine Metabolism",432,"WP4506",4,0.25,0,0,0.999852323093054,0.999852323093054 +"WP4518","Gamma-Glutamyl Cycle for the biosynthesis and degradation of glutathione, including diseases",434,"WP4518",10,0.5,0.2,0.2,0.000377573164229441,0.999852323093054 +"WP4521","Glycosylation and related congenital defects",436,"WP4521",25,1,0.12,0.16,1.02496252421453e-08,0.999852323093054 +"WP4523","Classical pathway of steroidogenesis, including diseases",438,"WP4523",16,0.31,0,0.2,0.273007477872406,0.999852323093054 +"WP4524","The alternative pathway of fetal androgen synthesis",439,"WP4524",12,0.33,0.25,0.25,2.8033361067803e-09,0.999852323093054 +"WP453","Inflammatory Response Pathway",440,"WP453",33,0.67,0.0909090909090909,0.181818181818182,0.000442098767154395,0.999852323093054 +"WP4532","Intraflagellar transport proteins binding to dynein",441,"WP4532",27,0.93,0.08,0.16,0.00558066527342552,0.999852323093054 +"WP4533","Transcription co-factors SKI and SKIL protein partners",442,"WP4533",18,1,0.166666666666667,0.277777777777778,1.54778757247964e-06,0.999852323093054 +"WP4536","Genes related to primary cilium development (based on CRISPR)",445,"WP4536",103,0.92,0.105263157894737,0.189473684210526,8.57900007846234e-13,0.999852323093054 +"WP4539","Synaptic signaling pathways associated with autism spectrum disorder",448,"WP4539",51,0.76,0.256410256410256,0.256410256410256,9.26038985479124e-09,0.999852323093054 +"WP4542","Overview of leukocyte-intrinsic Hippo pathway functions",451,"WP4542",36,0.86,0.161290322580645,0.258064516129032,1.54778757247964e-06,0.999852323093054 +"WP4553","FBXL10 enhancement of MAP/ERK signaling in diffuse large B-cell lymphoma",455,"WP4553",38,0.29,0.181818181818182,0.272727272727273,3.04356671038824e-07,0.999852323093054 +"WP4559","Interactions between immune cells and microRNAs in tumor microenvironment",457,"WP4559",40,0.6,0.125,0.25,1.47923810515956e-16,0.999852323093054 +"WP4561","Cell migration and invasion through p75NTR",459,"WP4561",31,0.9,0.214285714285714,0.285714285714286,3.88351886854851e-13,0.999852323093054 +"WP4564","Neural Crest Cell Migration during Development",461,"WP4564",41,0.8,0.151515151515152,0.242424242424242,1.21006371795151e-15,0.999852323093054 +"WP4565","Neural Crest Cell Migration in Cancer",462,"WP4565",44,0.82,0.166666666666667,0.25,1.21006371795151e-15,0.999852323093054 +"WP4577","Neurodegeneration with brain iron accumulation (NBIA) subtypes pathway",465,"WP4577",44,0.98,0.0930232558139535,0.116279069767442,0.000303680199088757,0.999852323093054 +"WP4595","Urea cycle and associated pathways",472,"WP4595",21,0.76,0.25,0.3125,1.21134935033961e-14,0.999852323093054 +"WP4629","Computational Model of Aerobic Glycolysis",473,"WP4629",12,0.92,0.181818181818182,0.181818181818182,1.94971495989183e-05,0.999852323093054 +"WP4655","Cytosolic DNA-sensing pathway",475,"WP4655",76,0.72,0.109090909090909,0.145454545454545,1.55030261832076e-25,0.999852323093054 +"WP4659","Gastrin Signaling Pathway",479,"WP4659",114,0.92,0.180952380952381,0.238095238095238,4.7856489956754e-16,0.999852323093054 +"WP4674","Head and Neck Squamous Cell Carcinoma",484,"WP4674",70,0.94,0.121212121212121,0.166666666666667,1.47923810515956e-16,0.999852323093054 +"WP4685","Melanoma",485,"WP4685",68,0.93,0.174603174603175,0.26984126984127,1.21006371795151e-15,0.999852323093054 +"WP47","Hedgehog Signaling Pathway Netpath",487,"WP47",16,0.75,0.0833333333333333,0.25,0.0317273821116764,0.999852323093054 +"WP4705","Pathways of nucleic acid metabolism and innate immune sensing",488,"WP4705",16,0.81,0.153846153846154,0.153846153846154,1.16208386478435e-12,0.999852323093054 +"WP4718","Cholesterol metabolism (includes both Bloch and Kandutsch-Russell pathways)",489,"WP4718",47,0.87,0.219512195121951,0.268292682926829,1.16398114740138e-08,0.999852323093054 +"WP4721","Eicosanoid metabolism via Lipo Oxygenases (LOX)",492,"WP4721",29,0.69,0.2,0.25,4.45382103461115e-22,0.999852323093054 +"WP4722","Glycerolipids and Glycerophospholipids",493,"WP4722",24,0.75,0.0555555555555556,0.0555555555555556,0.000153115641692463,0.999852323093054 +"WP4723","Omega-3/Omega-6 FA synthesis",494,"WP4723",15,0.73,0,0.0909090909090909,0.296626199889639,0.999852323093054 +"WP4726","Sphingolipid Metabolism (integrated pathway)",497,"WP4726",25,0.84,0.19047619047619,0.238095238095238,1.3073328528498e-06,0.999852323093054 +"WP4742","Ketogenesis and Ketolysis",499,"WP4742",8,1,0.125,0.125,6.0888051023505e-05,0.999852323093054 +"WP4746","Thyroid hormones production and their peripheral downstream signalling effects regarding congenital hypothyroidism",500,"WP4746",95,0.69,0.227272727272727,0.272727272727273,2.44977316588364e-24,0.999852323093054 +"WP4747","Netrin-UNC5B signaling Pathway",501,"WP4747",52,0.85,0.181818181818182,0.272727272727273,2.5665992363522e-08,0.999852323093054 +"WP4751","HIPK2 in kidney fibrosis",502,"WP4751",2,1,0,0,0.999852323093054,0.999852323093054 +"WP4753","Nucleotide Excision Repair",504,"WP4753",44,0.98,0.255813953488372,0.27906976744186,3.57124737003596e-13,0.999852323093054 +"WP4767","FGFR3 signalling in chondrocyte proliferation and terminal differentiation",509,"WP4767",27,0.89,0.166666666666667,0.25,1.60955895014834e-18,0.999852323093054 +"WP477","Cytoplasmic Ribosomal Proteins",510,"WP477",91,0.93,0.129411764705882,0.164705882352941,8.56966962716958e-10,0.999852323093054 +"WP4792","Purine metabolism",511,"WP4792",13,0.85,0.272727272727273,0.272727272727273,3.92279863878209e-05,0.999852323093054 +"WP481","Insulin Signaling",512,"WP481",161,0.93,0.186666666666667,0.246666666666667,2.30627807010563e-26,0.999852323093054 +"WP49","IL-2 Signaling Pathway",513,"WP49",42,0.98,0.195121951219512,0.24390243902439,1.21006371795151e-15,0.999852323093054 +"WP496","Steroid Biosynthesis",514,"WP496",10,0.4,0,0.25,0.386085732506969,0.999852323093054 +"WP500","Glycogen Synthesis and Degradation",516,"WP500",40,0.9,0.138888888888889,0.194444444444444,9.51262628208688e-25,0.999852323093054 +"WP51","Regulation of Actin Cytoskeleton",518,"WP51",151,0.77,0.213675213675214,0.273504273504274,1.04633266994318e-15,0.999852323093054 +"WP521","Amino acid conjugation of benzoic acid",520,"WP521",5,0.2,0,0,0.999852323093054,0.999852323093054 +"WP524","G13 Signaling Pathway",521,"WP524",41,0.85,0.2,0.2,6.63243812483213e-11,0.999852323093054 +"WP528","Acetylcholine Synthesis",522,"WP528",7,0.57,0,0,0.999852323093054,0.999852323093054 +"WP534","Glycolysis and Gluconeogenesis",526,"WP534",45,0.73,0.121212121212121,0.121212121212121,7.99040804992212e-20,0.999852323093054 +"WP560","TGF-beta Receptor Signaling",532,"WP560",58,0.79,0.217391304347826,0.260869565217391,1.47923810515956e-16,0.999852323093054 +"WP581","EPO Receptor Signaling",535,"WP581",26,0.96,0.08,0.08,0.000601597866207179,0.999852323093054 +"WP585","Interferon type I signaling pathways",536,"WP585",55,0.95,0.173076923076923,0.230769230769231,9.45573250233619e-09,0.999852323093054 +"WP61","Notch Signaling Pathway Netpath",537,"WP61",63,0.9,0.157894736842105,0.280701754385965,4.8712821556021e-23,0.999852323093054 +"WP615","Senescence and Autophagy in Cancer",538,"WP615",108,0.86,0.193548387096774,0.258064516129032,1.55030261832076e-25,0.999852323093054 +"WP623","Oxidative phosphorylation",540,"WP623",62,0.6,0,0.0540540540540541,0.0626324188453113,0.999852323093054 +"WP673","ErbB Signaling Pathway",542,"WP673",91,0.89,0.209876543209877,0.259259259259259,3.46021469111041e-20,0.999852323093054 +"WP678","Arachidonate Epoxygenase / Epoxide Hydrolase",543,"WP678",7,0.71,0.2,0.2,4.43345799464762e-09,0.999852323093054 +"WP688","Catalytic cycle of mammalian Flavin-containing MonoOxygenases (FMOs)",544,"WP688",5,0.6,0,0,0.999852323093054,0.999852323093054 +"WP690","Polyol Pathway",546,"WP690",4,0.75,0,0,0.855645046418417,0.999852323093054 +"WP692","Sulfation Biotransformation Reaction",548,"WP692",19,0.32,0,0,0.999852323093054,0.999852323093054 +"WP694","Arylamine metabolism",549,"WP694",6,0.33,0,0,0.999852323093054,0.999852323093054 +"WP696","Benzo(a)pyrene metabolism",550,"WP696",9,0.78,0,0.142857142857143,0.186101834726753,0.999852323093054 +"WP697","Estrogen metabolism",551,"WP697",19,0.47,0,0,0.999852323093054,0.999852323093054 +"WP698","Glucuronidation",552,"WP698",26,0.35,0.222222222222222,0.222222222222222,2.6913627863713e-23,0.999852323093054 +"WP699","Aflatoxin B1 metabolism",553,"WP699",7,0.43,0,0,0.999852323093054,0.999852323093054 +"WP702","Metapathway biotransformation Phase I and II",554,"WP702",188,0.48,0.133333333333333,0.188888888888889,2.4987918295779e-23,0.999852323093054 +"WP710","DNA Damage Response (only ATM dependent)",558,"WP710",115,0.87,0.13,0.21,1.57756315705304e-09,0.999852323093054 +"WP712","Estrogen signaling pathway",559,"WP712",23,0.91,0.19047619047619,0.333333333333333,1.21006371795151e-15,0.999852323093054 +"WP716","Vitamin A and Carotenoid Metabolism",560,"WP716",44,0.5,0.181818181818182,0.272727272727273,9.28054409606823e-14,0.999852323093054 +"WP733","Serotonin Receptor 2 and STAT3 Signaling",563,"WP733",4,0.75,0.333333333333333,0.333333333333333,0.0212542319346549,0.999852323093054 +"WP75","Toll-like Receptor Signaling Pathway",565,"WP75",104,0.75,0.0897435897435897,0.179487179487179,1.55030261832076e-25,0.999852323093054 +"WP78","TCA Cycle (aka Krebs or citric acid cycle)",566,"WP78",18,1,0,0.0555555555555556,0.345480440691871,0.999852323093054 +"WP80","Nucleotide GPCRs",567,"WP80",11,0.73,0,0,0.999852323093054,0.999852323093054 +"WP127","IL-5 Signaling Pathway",7,"WP127",40,0.95,0.236842105263158,0.263157894736842,1.21006371795151e-15,0.999852323093054 +"WP138","Androgen receptor signaling pathway",11,"WP138",91,0.9,0.195121951219512,0.25609756097561,1.33825325438479e-13,0.999852323093054 +"WP1425","Bone Morphogenic Protein (BMP) Signalling and Regulation",16,"WP1425",12,0.83,0.1,0.2,0.0044135122745415,0.999852323093054 +"WP1559","TFs Regulate miRNAs related to cardiac hypertrophy",34,"WP1559",12,0.58,0,0.142857142857143,0.452666162731714,0.999852323093054 +"WP1946","Cori Cycle",53,"WP1946",17,0.82,0.142857142857143,0.142857142857143,7.99040804992212e-20,0.999852323093054 +"WP2034","Leptin signaling pathway",69,"WP2034",76,0.99,0.213333333333333,0.266666666666667,6.63243812483213e-11,0.999852323093054 +"WP2290","RalA downstream regulated genes",91,"WP2290",12,0.92,0.181818181818182,0.181818181818182,1.57756315705304e-09,0.999852323093054 +"WP23","B Cell Receptor Signaling Pathway",93,"WP23",98,0.94,0.184782608695652,0.260869565217391,1.45750470372243e-17,0.999852323093054 +"WP2328","Allograft Rejection",96,"WP2328",90,0.69,0.17741935483871,0.209677419354839,2.86780567028817e-25,0.999852323093054 +"WP2332","Interleukin-11 Signaling Pathway",97,"WP2332",44,0.91,0.225,0.25,3.51846221320189e-12,0.999852323093054 +"WP2795","Cardiac Hypertrophic Response",149,"WP2795",57,0.89,0.196078431372549,0.254901960784314,2.08918249834541e-15,0.999852323093054 +"WP3614","Photodynamic therapy-induced HIF-1 survival signaling",233,"WP3614",37,0.89,0.181818181818182,0.242424242424242,3.51846221320189e-12,0.999852323093054 +"WP3891","Benzene metabolism",287,"WP3891",6,0.5,0,0,0.999852323093054,0.999852323093054 +"WP3915","Angiopoietin Like Protein 8 Regulatory Pathway",291,"WP3915",132,0.89,0.136752136752137,0.170940170940171,7.99040804992212e-20,0.999852323093054 +"WP3926","ApoE and miR-146 in inflammation and atherosclerosis",294,"WP3926",9,0.89,0,0.125,0.114048118916392,0.999852323093054 +"WP404","Nucleotide Metabolism",333,"WP404",19,0.95,0.166666666666667,0.166666666666667,3.57124737003596e-13,0.999852323093054 +"WP4216","Chromosomal and microsatellite instability in colorectal cancer ",362,"WP4216",74,0.96,0.211267605633803,0.267605633802817,1.47923810515956e-16,0.999852323093054 +"WP4269","Ethanol metabolism resulting in production of ROS by CYP2E1",382,"WP4269",10,0.9,0.111111111111111,0.333333333333333,7.45368111307164e-07,0.999852323093054 +"WP4288","MTHFR deficiency",387,"WP4288",27,0.7,0.315789473684211,0.315789473684211,1.69249742410717e-08,0.999852323093054 +"WP4301","Inhibition of exosome biogenesis and secretion by Manumycin A in CRPC cells",396,"WP4301",18,1,0.166666666666667,0.222222222222222,9.01134422889796e-05,0.999852323093054 +"WP4324","Mitochondrial complex I assembly model OXPHOS system",402,"WP4324",56,0.8,0,0.0222222222222222,0.0626324188453113,0.999852323093054 +"WP4329","miRNAs involvement in the immune response in sepsis",403,"WP4329",64,0.5,0.0625,0.1875,1.55030261832076e-25,0.999852323093054 +"WP438","Non-homologous end joining",412,"WP438",11,0.91,0.1,0.1,0.00934439177317729,0.999852323093054 +"WP4495","IL-10 Anti-inflammatory Signaling Pathway ",428,"WP4495",12,0.92,0.181818181818182,0.272727272727273,1.55030261832076e-25,0.999852323093054 +"WP4507","Molybdenum cofactor (Moco) biosynthesis",433,"WP4507",7,1,0.142857142857143,0.285714285714286,3.39506009152496e-24,0.999852323093054 +"WP4534","Mechanoregulation and pathology of YAP/TAZ via Hippo and non-Hippo mechanisms",443,"WP4534",48,0.92,0.159090909090909,0.272727272727273,8.80436312071741e-23,0.999852323093054 +"WP4558","Overview of interferons-mediated signaling pathway",456,"WP4558",37,0.38,0.214285714285714,0.214285714285714,0.000341914298724229,0.999852323093054 +"WP4566","Translation inhibitors in chronically activated PDGFRA cells",463,"WP4566",48,0.94,0.177777777777778,0.2,8.56966962716958e-10,0.999852323093054 +"WP4582","Cancer immunotherapy by CTLA4 blockade",466,"WP4582",15,0.8,0,0,0.835939678356078,0.999852323093054 +"WP4656","Joubert Syndrome",476,"WP4656",77,0.9,0.130434782608696,0.217391304347826,4.67701164770016e-10,0.999852323093054 +"WP501","GPCRs, Class C Metabotropic glutamate, pheromone",517,"WP501",16,0.31,0,0,0.999852323093054,0.999852323093054 +"WP619","Type II interferon signaling (IFNG)",539,"WP619",37,0.84,0.193548387096774,0.258064516129032,9.44618578094348e-09,0.999852323093054 +"WP69","T-Cell antigen Receptor (TCR) Signaling Pathway",545,"WP69",91,0.9,0.0975609756097561,0.182926829268293,1.55030261832076e-25,0.999852323093054 +"WP691","Tamoxifen metabolism",547,"WP691",21,0.24,0.2,0.2,0.0372370714105519,0.999852323093054 +"WP732","Serotonin Receptor 2 and ELK-SRF/GATA4 signaling",562,"WP732",20,0.75,0.2,0.266666666666667,6.52294438984146e-17,0.999852323093054 +"WP1981","Thyroxine (Thyroid Hormone) Production",57,"WP1981",6,0,NA,NA,NA,NA +"WP2491","Diclofenac Metabolic Pathway",123,"WP2491",4,0,NA,NA,NA,NA +"WP2536","Colchicine Metabolic Pathway",131,"WP2536",1,0,NA,NA,NA,NA +"WP2596","Gastric acid production",137,"WP2596",7,0,NA,NA,NA,NA +"WP2597","Secretion of Hydrochloric Acid in Parietal Cells",138,"WP2597",5,0,NA,NA,NA,NA +"WP2640","Aripiprazole Metabolic Pathway",143,"WP2640",2,0,NA,NA,NA,NA +"WP2646","Lidocaine metabolism",146,"WP2646",2,0,NA,NA,NA,NA +"WP2816","Felbamate Metabolism",156,"WP2816",2,0,NA,NA,NA,NA +"WP3627","Gut-Liver Indole Metabolism ",236,"WP3627",1,0,NA,NA,NA,NA +"WP3666","Metabolism of Dichloroethylene by CYP450",254,"WP3666",1,0,NA,NA,NA,NA +"WP4174","Metabolism of Tetrahydrocannabinol (THC)",351,"WP4174",2,0,NA,NA,NA,NA +"WP4194","Hormonal control of Pubertal Growth Spurt",355,"WP4194",2,0,NA,NA,NA,NA +"WP4233","Acrylamide Biotransformation and Exposure Biomarkers",371,"WP4233",1,0,NA,NA,NA,NA +"WP661","Glucose Homeostasis",541,"WP661",1,0,NA,NA,NA,NA diff --git a/statistics-enrichment-analysis/association_results/bladder_cancer_WikiPathways_safe_sample_perm.csv b/statistics-enrichment-analysis/association_results/bladder_cancer_WikiPathways_safe_sample_perm.csv new file mode 100644 index 0000000..ba237a0 --- /dev/null +++ b/statistics-enrichment-analysis/association_results/bladder_cancer_WikiPathways_safe_sample_perm.csv @@ -0,0 +1,503 @@ +"set_id","name","GENE.SET","GLOB.STAT","NGLOB.STAT","PVAL" +"WP1991","SRF and miRs in Smooth Muscle Differentiation and Proliferation","WP1991",39300,4370,0.001 +"WP2023","Cell Differentiation - Index expanded","WP2023",43100,3920,0.001 +"WP1602","Nicotine Activity on Dopaminergic Neurons","WP1602",40000,3630,0.002 +"WP2029","Cell Differentiation - Index","WP2029",25100,4180,0.007 +"WP3996","Ethanol effects on histone modifications","WP3996",86700,3100,0.008 +"WP497","Urea cycle and metabolism of amino groups","WP497",52400,3280,0.008 +"WP3944","Serotonin and anxiety-related events","WP3944",23400,3900,0.009 +"WP2361","Gastric Cancer Network 1","WP2361",83100,3780,0.011 +"WP4545","Oxysterols derived from cholesterol","WP4545",35000,3500,0.012 +"WP2848","Differentiation Pathway","WP2848",80700,3110,0.013 +"WP247","Small Ligand GPCRs","WP247",36000,3600,0.017 +"WP4300","Extracellular vesicles in the crosstalk of cardiac cells","WP4300",55600,3270,0.017 +"WP466","DNA Replication","WP466",152000,3720,0.019 +"WP289","Myometrial Relaxation and Contraction Pathways","WP289",341000,2840,0.022 +"WP236","Adipogenesis","WP236",292000,2810,0.026 +"WP179","Cell Cycle","WP179",347000,3010,0.027 +"WP2855","Dopaminergic Neurogenesis","WP2855",33200,3320,0.028 +"WP3893","Development and heterogeneity of the ILC family","WP3893",56400,3130,0.029 +"WP45","G1 to S cell cycle control","WP45",194000,3190,0.029 +"WP4337","ncRNAs involved in STAT3 signaling in hepatocellular carcinoma","WP4337",44300,3410,0.03 +"WP4222","Phosphodiesterases in neuronal function","WP4222",93100,3000,0.031 +"WP4760","PKC-gamma calcium signaling pathway in ataxia","WP4760",40100,3340,0.033 +"WP35","G Protein Signaling Pathways","WP35",220000,2900,0.035 +"WP3958","GPR40 Pathway","WP3958",40300,3100,0.035 +"WP4149","White fat cell differentiation","WP4149",87000,2900,0.036 +"WP474","Endochondral Ossification","WP474",154000,2850,0.041 +"WP2355","Corticotropin-releasing hormone signaling pathway","WP2355",199000,2730,0.043 +"WP2446","Retinoblastoma Gene in Cancer","WP2446",283000,3290,0.044 +"WP2849","Hematopoietic Stem Cell Differentiation","WP2849",124000,2880,0.046 +"WP4589","Major receptors targeted by epinephrine and norepinephrine","WP4589",36300,3300,0.046 +"WP3591","Sleep regulation","WP3591",40000,3080,0.047 +"WP4584","Biomarkers for pyrimidine metabolism disorders","WP4584",37600,3140,0.047 +"WP1992","Genes targeted by miRNAs in adipocytes","WP1992",31600,3160,0.048 +"WP2064","Neural Crest Differentiation","WP2064",178000,2770,0.048 +"WP383","Striated Muscle Contraction Pathway","WP383",76100,3310,0.049 +"WP241","One Carbon Metabolism","WP241",75100,3000,0.052 +"WP2516","ATM Signaling Pathway","WP2516",109000,2950,0.052 +"WP2815","Mammary gland development pathway - Involution (Stage 4 of 4)","WP2815",32200,3220,0.052 +"WP516","Hypertrophy Model","WP516",46500,3100,0.053 +"WP58","Monoamine GPCRs","WP58",17300,3460,0.054 +"WP4016","DNA IR-damage and cellular response via ATR","WP4016",223000,2970,0.055 +"WP2840","Hair Follicle Development: Cytodifferentiation (Part 3 of 3)","WP2840",156000,2790,0.058 +"WP1601","Fluoropyrimidine Activity","WP1601",81100,2900,0.061 +"WP706","Sudden Infant Death Syndrome (SIDS) Susceptibility Pathways","WP706",265000,2650,0.061 +"WP2406","Cardiac Progenitor Differentiation","WP2406",86600,2890,0.062 +"WP554","ACE Inhibitor Pathway","WP554",36600,3320,0.064 +"WP3959","DNA IR-Double Strand Breaks (DSBs) and cellular response via ATM","WP3959",147000,2820,0.065 +"WP531","DNA Mismatch Repair","WP531",67300,3210,0.066 +"WP4240","Regulation of sister chromatid separation at the metaphase-anaphase transition","WP4240",49900,3330,0.067 +"WP2197","Endothelin Pathways","WP2197",66300,2880,0.069 +"WP2525","Trans-sulfuration and one carbon metabolism","WP2525",80900,2890,0.069 +"WP536","Calcium Regulation in the Cardiac Cell","WP536",302000,2820,0.069 +"WP727","Monoamine Transport","WP727",49900,2930,0.07 +"WP1530","miRNA Regulation of DNA Damage Response","WP1530",179000,2800,0.072 +"WP3611","Photodynamic therapy-induced AP-1 survival signaling.","WP3611",128000,2790,0.075 +"WP1423","Ganglio Sphingolipid Metabolism","WP1423",25100,3140,0.078 +"WP707","DNA Damage Response","WP707",172000,2780,0.078 +"WP3299","let-7 inhibition of ES cell reprogramming","WP3299",16900,3380,0.085 +"WP1528","Physiological and Pathological Hypertrophy of the Heart","WP1528",68400,2850,0.086 +"WP384","Apoptosis Modulation by HSP70","WP384",52400,2910,0.089 +"WP2431","Spinal Cord Injury","WP2431",242000,2690,0.09 +"WP3599","Transcription factor regulation in adipogenesis","WP3599",54200,2850,0.092 +"WP3947","Serotonin and anxiety","WP3947",22000,3150,0.093 +"WP558","Complement and Coagulation Cascades","WP558",114000,2910,0.099 +"WP3995","Prion disease pathway","WP3995",84900,2740,0.1 +"WP4752","Base Excision Repair","WP4752",85900,2860,0.105 +"WP4204","Tumor suppressor activity of SMARCB1","WP4204",72400,2790,0.107 +"WP4259","Disorders of Folate Metabolism and Transport","WP4259",33100,3010,0.108 +"WP2806","Human Complement System","WP2806",177000,2820,0.111 +"WP560","TGF-beta Receptor Signaling","WP560",123000,2680,0.113 +"WP2276","Glial Cell Differentiation","WP2276",16100,3220,0.119 +"WP3580","Methionine De Novo and Salvage Pathway","WP3580",52600,2770,0.119 +"WP4698","Vitamin D-sensitive calcium signaling in depression","WP4698",60500,2750,0.125 +"WP2113","Type III interferon signaling","WP2113",19400,3240,0.127 +"WP136","Phase I biotransformations, non P450","WP136",15500,3110,0.13 +"WP2814","Mammary gland development pathway - Puberty (Stage 2 of 4)","WP2814",34600,2880,0.13 +"WP3679","Cell-type Dependent Selectivity of CCK2R Signaling","WP3679",27700,3070,0.133 +"WP3892","Development of pulmonary dendritic cells and macrophage subsets","WP3892",31600,3160,0.134 +"WP3287","Overview of nanoparticle effects","WP3287",41700,2780,0.136 +"WP4225","Pyrimidine metabolism and related diseases","WP4225",35000,2910,0.136 +"WP170","Nuclear Receptors","WP170",78400,2700,0.14 +"WP2874","Liver X Receptor Pathway","WP2874",16100,3220,0.14 +"WP4571","Urea cycle and related diseases","WP4571",17900,2980,0.142 +"WP3640","Imatinib and Chronic Myeloid Leukemia","WP3640",55400,2770,0.149 +"WP2032","Human Thyroid Stimulating Hormone (TSH) signaling pathway","WP2032",162000,2610,0.15 +"WP2363","Gastric Cancer Network 2","WP2363",81200,2800,0.151 +"WP4022","Pyrimidine metabolism","WP4022",203000,2640,0.152 +"WP2369","Histone Modifications","WP2369",81700,2720,0.155 +"WP206","Fatty Acid Omega Oxidation","WP206",16400,3280,0.157 +"WP2879","Farnesoid X Receptor Pathway","WP2879",21000,3000,0.16 +"WP3875","ATR Signaling","WP3875",23700,2960,0.16 +"WP2011","SREBF and miR33 in cholesterol and lipid homeostasis","WP2011",44700,2790,0.164 +"WP2895","Differentiation of white and brown adipocyte ","WP2895",49400,2750,0.164 +"WP3584","MECP2 and Associated Rett Syndrome","WP3584",133000,2600,0.164 +"WP4658","Small cell lung cancer","WP4658",228000,2570,0.166 +"WP1742","TP53 Network","WP1742",49900,2770,0.167 +"WP2858","Ectoderm Differentiation","WP2858",285000,2570,0.167 +"WP4224","Purine metabolism and related disorders","WP4224",51400,2710,0.168 +"WP3613","Photodynamic therapy-induced unfolded protein response","WP3613",65000,2710,0.17 +"WP2059","Alzheimers Disease","WP2059",179000,2590,0.179 +"WP545","Complement Activation","WP545",44800,2990,0.18 +"WP2267","Synaptic Vesicle Pathway","WP2267",81500,2630,0.181 +"WP1971","Integrated Cancer Pathway","WP1971",115000,2670,0.183 +"WP3624","Lung fibrosis","WP3624",112000,2660,0.185 +"WP4754","IL-18 signaling pathway","WP4754",557000,2510,0.185 +"WP3876","BMP2-WNT4-FOXO1 Pathway in Human Primary Endometrial Stromal Cell Differentiation","WP3876",30300,2760,0.193 +"WP4756","Renin Angiotensin Aldosterone System (RAAS)","WP4756",75400,2690,0.193 +"WP2878","PPAR Alpha Pathway","WP2878",43300,2710,0.196 +"WP1434","Osteopontin Signaling","WP1434",36500,2810,0.197 +"WP698","Glucuronidation","WP698",25100,2790,0.197 +"WP176","Folate Metabolism","WP176",116000,2630,0.198 +"WP465","Tryptophan metabolism","WP465",71700,2660,0.2 +"WP186","Homologous recombination","WP186",33400,2780,0.201 +"WP3594","Circadian rhythm related genes","WP3594",349000,2530,0.202 +"WP4560","MFAP5 effect on permeability and motility of endothelial cells via cytoskeleton rearrangement","WP4560",47500,2790,0.208 +"WP4312","Rett syndrome causing genes","WP4312",96900,2620,0.215 +"WP3656","Interleukin-1 Induced Activation of NF-kappa-B","WP3656",27400,2740,0.217 +"WP4288","MTHFR deficiency","WP4288",51800,2720,0.219 +"WP4719","Eicosanoid metabolism via Cyclo Oxygenases (COX)","WP4719",56000,2670,0.222 +"WP4304","Oligodendrocyte Specification and differentiation(including remyelination), leading to Myelin Components for CNS","WP4304",43800,2740,0.223 +"WP3529","Zinc homeostasis","WP3529",63800,2660,0.224 +"WP2338","miRNA Biogenesis","WP2338",17000,2840,0.225 +"WP3585","Cytosine methylation","WP3585",21900,2730,0.225 +"WP4495","IL-10 Anti-inflammatory Signaling Pathway ","WP4495",30000,2720,0.225 +"WP2007","Iron metabolism in placenta","WP2007",22200,2770,0.227 +"WP4249","Hedgehog Signaling Pathway","WP4249",88300,2600,0.227 +"WP98","Prostaglandin Synthesis and Regulation","WP98",97200,2630,0.227 +"WP2865","IL1 and megakaryocytes in obesity","WP2865",56300,2680,0.229 +"WP1422","Sphingolipid pathway","WP1422",62800,2620,0.233 +"WP4290","Metabolic reprogramming in colon cancer","WP4290",102000,2620,0.234 +"WP4493","Cells and Molecules involved in local acute inflammatory response ","WP4493",36600,2810,0.236 +"WP117","GPCRs, Other","WP117",58000,2640,0.24 +"WP3670","Simplified Interaction Map Between LOXL4 and Oxidative Stress Pathway","WP3670",44800,2640,0.243 +"WP24","Peptide GPCRs","WP24",56100,2670,0.246 +"WP1545","miRNAs involved in DNA damage response","WP1545",37500,2680,0.248 +"WP3930","EDA Signalling in Hair Follicle Development","WP3930",24800,2760,0.248 +"WP138","Androgen receptor signaling pathway","WP138",207000,2530,0.25 +"WP34","Ovarian Infertility Genes","WP34",44700,2630,0.25 +"WP4629","Computational Model of Aerobic Glycolysis","WP4629",31700,2880,0.25 +"WP4286","Genotoxicity pathway","WP4286",125000,2560,0.255 +"WP3657","Hematopoietic Stem Cell Gene Regulation by GABP alpha/beta Complex","WP3657",50700,2670,0.256 +"WP2038","Regulation of Microtubule Cytoskeleton","WP2038",108000,2570,0.27 +"WP2507","Nanomaterial induced apoptosis","WP2507",49700,2610,0.272 +"WP3963","Mevalonate pathway","WP3963",19700,2810,0.272 +"WP3877","Simplified Depiction of MYD88 Distinct Input-Output Pathway","WP3877",36900,2640,0.273 +"WP4357","NRF2-ARE regulation","WP4357",56900,2590,0.273 +"WP530","Cytokines and Inflammatory Response","WP530",37100,2650,0.277 +"WP2817","Mammary gland development pathway - Pregnancy and lactation (Stage 3 of 4)","WP2817",64100,2570,0.278 +"WP1589","Folate-Alcohol and Cancer Pathway Hypotheses","WP1589",21700,2710,0.285 +"WP430","Statin Pathway","WP430",39400,2620,0.285 +"WP4673","Genes involved in male infertility","WP4673",212000,2490,0.286 +"WP4535","Envelope proteins and their potential roles in EDMD physiopathology","WP4535",102000,2540,0.288 +"WP4553","FBXL10 enhancement of MAP/ERK signaling in diffuse large B-cell lymphoma","WP4553",29300,2660,0.289 +"WP3941","Oxidative Damage","WP3941",94800,2560,0.29 +"WP4481","Resistin as a regulator of inflammation","WP4481",72200,2580,0.29 +"WP3942","PPAR signaling pathway","WP3942",113000,2500,0.293 +"WP428","Wnt Signaling","WP428",233000,2500,0.294 +"WP4172","PI3K-Akt Signaling Pathway","WP4172",622000,2470,0.296 +"WP1772","Apoptosis Modulation and Signaling","WP1772",197000,2500,0.298 +"WP1531","Vitamin D Metabolism","WP1531",18900,2700,0.301 +"WP1984","Integrated Breast Cancer Pathway","WP1984",355000,2490,0.301 +"WP314","Fas Ligand (FasL) pathway and Stress induction of Heat Shock Proteins (HSP) regulation","WP314",102000,2540,0.301 +"WP4341","Non-genomic actions of 1,25 dihydroxyvitamin D3","WP4341",146000,2520,0.302 +"WP4518","Gamma-Glutamyl Cycle for the biosynthesis and degradation of glutathione, including diseases","WP4518",13600,2720,0.304 +"WP1591","Heart Development","WP1591",75600,2520,0.316 +"WP3407","FTO Obesity Variant Mechanism","WP3407",18900,2700,0.319 +"WP129","Matrix Metalloproteinases","WP129",57000,2590,0.325 +"WP1455","Serotonin Transporter Activity","WP1455",21000,2630,0.325 +"WP4462","Platelet-mediated interactions with vascular and circulating cells","WP4462",39600,2640,0.329 +"WP4298","Viral Acute Myocarditis","WP4298",174000,2480,0.333 +"WP254","Apoptosis","WP254",198000,2480,0.335 +"WP2118","Arrhythmogenic Right Ventricular Cardiomyopathy","WP2118",142000,2540,0.336 +"WP3655","Hypothetical Craniofacial Development Pathway","WP3655",16200,2700,0.336 +"WP107","Translation Factors","WP107",118000,2520,0.337 +"WP167","Eicosanoid Synthesis","WP167",45600,2530,0.34 +"WP3871","Valproic acid pathway","WP3871",21100,2640,0.341 +"WP4186","Somatroph axis (GH) and its relationship to dietary restriction and aging","WP4186",15800,2630,0.341 +"WP3972","PDGFR-beta pathway","WP3972",73500,2540,0.347 +"WP4558","Overview of interferons-mediated signaling pathway","WP4558",36000,2570,0.347 +"WP2853","Endoderm Differentiation","WP2853",275000,2450,0.348 +"WP3630","NAD metabolism, sirtuins and aging","WP3630",26000,2600,0.349 +"WP3878","ATM Signaling Network in Development and Disease ","WP3878",103000,2510,0.35 +"WP3872","Regulation of Apoptosis by Parathyroid Hormone-related Protein","WP3872",50400,2520,0.352 +"WP3888","VEGFA-VEGFR2 Signaling Pathway","WP3888",986000,2450,0.358 +"WP4583","Biomarkers for urea cycle disorders","WP4583",21000,2620,0.358 +"WP197","Cholesterol Biosynthesis Pathway","WP197",35700,2550,0.36 +"WP26","Signal Transduction of S1P Receptor","WP26",60900,2540,0.361 +"WP4148","Splicing factor NOVA regulated synaptic proteins","WP4148",77400,2500,0.364 +"WP585","Interferon type I signaling pathways","WP585",129000,2480,0.364 +"WP306","Focal Adhesion","WP306",426000,2460,0.366 +"WP4320","The effect of progerin on the involved genes in Hutchinson-Gilford Progeria Syndrome","WP4320",55400,2520,0.367 +"WP734","Serotonin Receptor 4/6/7 and NR3C Signaling","WP734",40800,2550,0.368 +"WP4321","Thermogenesis","WP4321",223000,2470,0.369 +"WP3595","mir-124 predicted interactions with cell cycle and differentiation ","WP3595",15800,2630,0.371 +"WP4538","Regulatory circuits of the STAT3 signaling pathway","WP4538",166000,2480,0.371 +"WP1541","Energy Metabolism","WP1541",105000,2500,0.378 +"WP2371","Parkinsons Disease Pathway","WP2371",77000,2480,0.378 +"WP4211","Transcriptional cascade regulating adipogenesis","WP4211",32800,2530,0.38 +"WP3414","Initiation of transcription and translation elongation at the HIV-1 LTR","WP3414",67700,2510,0.381 +"WP4718","Cholesterol metabolism (includes both Bloch and Kandutsch-Russell pathways)","WP4718",102000,2490,0.382 +"WP4725","Sphingolipid Metabolism (general overview)","WP4725",49800,2490,0.382 +"WP272","Blood Clotting Cascade","WP272",30500,2540,0.383 +"WP3998","Prader-Willi and Angelman Syndrome","WP3998",74300,2480,0.383 +"WP2359","Parkin-Ubiquitin Proteasomal System pathway","WP2359",145000,2460,0.385 +"WP2864","Apoptosis-related network due to altered Notch3 in ovarian cancer","WP2864",123000,2460,0.386 +"WP411","mRNA Processing","WP411",3e+05,2460,0.386 +"WP4147","PTF1A related regulatory pathway","WP4147",12900,2580,0.387 +"WP3527","Preimplantation Embryo","WP3527",77300,2490,0.392 +"WP322","Osteoblast Signaling","WP322",18300,2610,0.393 +"WP4482","Vitamin D in inflammatory diseases","WP4482",52400,2500,0.398 +"WP4753","Nucleotide Excision Repair","WP4753",106000,2460,0.399 +"WP561","Heme Biosynthesis","WP561",20000,2500,0.4 +"WP4236","Disorders of the Krebs cycle","WP4236",17500,2500,0.406 +"WP3971","Role of Osx and miRNAs in tooth development","WP3971",24700,2470,0.408 +"WP4523","Classical pathway of steroidogenesis, including diseases","WP4523",12800,2550,0.409 +"WP410","Exercise-induced Circadian Regulation","WP410",109000,2480,0.41 +"WP4533","Transcription co-factors SKI and SKIL protein partners","WP4533",45100,2510,0.411 +"WP53","ID signaling pathway","WP53",32400,2490,0.417 +"WP3644","NAD+ metabolism","WP3644",34700,2480,0.422 +"WP3926","ApoE and miR-146 in inflammation and atherosclerosis","WP3926",20000,2500,0.422 +"WP1946","Cori Cycle","WP1946",34900,2490,0.425 +"WP262","EBV LMP1 signaling","WP262",49200,2460,0.426 +"WP500","Glycogen Synthesis and Degradation","WP500",88500,2460,0.426 +"WP3301","MFAP5-mediated ovarian cancer cell motility and invasiveness","WP3301",32500,2500,0.427 +"WP3617","Photodynamic therapy-induced NF-kB survival signaling","WP3617",72700,2420,0.428 +"WP3850","Factors and pathways affecting insulin-like growth factor (IGF1)-Akt signaling","WP3850",71500,2470,0.428 +"WP4480","Role of Altered Glycolysation of MUC1 in Tumour Microenvironment","WP4480",20100,2520,0.428 +"WP15","Selenium Micronutrient Network","WP15",121000,2430,0.431 +"WP3596","miR-517 relationship with ARCN1 and USP1","WP3596",12500,2500,0.434 +"WP183","Proteasome Degradation","WP183",141000,2440,0.436 +"WP2881","Estrogen Receptor Pathway","WP2881",24600,2460,0.439 +"WP2875","Constitutive Androstane Receptor Pathway","WP2875",41400,2440,0.443 +"WP4008","NO/cGMP/PKG mediated Neuroprotection","WP4008",61700,2470,0.444 +"WP4539","Synaptic signaling pathways associated with autism spectrum disorder","WP4539",95600,2450,0.445 +"WP4336","ncRNAs involved in Wnt signaling in hepatocellular carcinoma","WP4336",167000,2420,0.447 +"WP2291","Deregulation of Rab and Rab Effector Genes in Bladder Cancer","WP2291",36300,2420,0.451 +"WP455","GPCRs, Class A Rhodopsin-like","WP455",141000,2430,0.454 +"WP2485","NAD Biosynthesis II (from tryptophan)","WP2485",14800,2470,0.455 +"WP4767","FGFR3 signalling in chondrocyte proliferation and terminal differentiation","WP4767",58400,2430,0.461 +"WP4521","Glycosylation and related congenital defects","WP4521",60500,2420,0.479 +"WP3672","LncRNA-mediated mechanisms of therapeutic resistance","WP3672",17100,2440,0.48 +"WP2586","Aryl Hydrocarbon Receptor Netpath","WP2586",96900,2420,0.482 +"WP2583","T-Cell Receptor and Co-stimulatory Signaling","WP2583",65000,2410,0.49 +"WP4269","Ethanol metabolism resulting in production of ROS by CYP2E1","WP4269",21700,2410,0.499 +"WP4726","Sphingolipid Metabolism (integrated pathway)","WP4726",50000,2380,0.507 +"WP678","Arachidonate Epoxygenase / Epoxide Hydrolase","WP678",11900,2380,0.512 +"WP3298","Melatonin metabolism and effects","WP3298",62600,2410,0.515 +"WP1533","Vitamin B12 Metabolism","WP1533",71500,2380,0.516 +"WP3658","Wnt/beta-catenin Signaling Pathway in Leukemia","WP3658",50100,2390,0.516 +"WP3927","BMP Signaling Pathway in Eyelid Development","WP3927",38100,2380,0.516 +"WP3935","Leptin Insulin Overlap","WP3935",33600,2400,0.516 +"WP2332","Interleukin-11 Signaling Pathway","WP2332",96300,2410,0.517 +"WP524","G13 Signaling Pathway","WP524",83800,2390,0.517 +"WP4331","Neovascularisation processes","WP4331",89100,2410,0.519 +"WP4657","22q11.2 Deletion Syndrome","WP4657",140000,2410,0.52 +"WP2911","miRNA targets in ECM and membrane receptors","WP2911",51000,2320,0.521 +"WP1403","AMP-activated Protein Kinase (AMPK) Signaling","WP1403",135000,2400,0.526 +"WP2112","IL17 signaling pathway","WP2112",65000,2410,0.526 +"WP28","Selenium Metabolism and Selenoproteins","WP28",66800,2380,0.528 +"WP408","Oxidative Stress","WP408",68400,2360,0.528 +"WP4540","Pathways Regulating Hippo Signaling","WP4540",190000,2400,0.535 +"WP268","Notch Signaling","WP268",95800,2390,0.536 +"WP2857","Mesodermal Commitment Pathway","WP2857",278000,2400,0.536 +"WP4724","Omega-9 FA synthesis","WP4724",28000,2330,0.545 +"WP229","Irinotecan Pathway","WP229",16300,2330,0.55 +"WP3929","Chemokine signaling pathway","WP3929",296000,2390,0.551 +"WP4507","Molybdenum cofactor (Moco) biosynthesis","WP4507",13900,2320,0.553 +"WP3646","Hepatitis C and Hepatocellular Carcinoma","WP3646",104000,2370,0.558 +"WP501","GPCRs, Class C Metabotropic glutamate, pheromone","WP501",11600,2320,0.564 +"WP1425","Bone Morphogenic Protein (BMP) Signalling and Regulation","WP1425",23000,2300,0.57 +"WP2203","Thymic Stromal LymphoPoietin (TSLP) Signaling Pathway","WP2203",107000,2370,0.572 +"WP3","Phytochemical activity on NRF2 transcriptional activation","WP3",32700,2340,0.572 +"WP80","Nucleotide GPCRs","WP80",18600,2320,0.572 +"WP311","Synthesis and Degradation of Ketone Bodies","WP311",11400,2280,0.573 +"WP4586","Metabolism of alpha-linolenic acid","WP4586",13700,2280,0.575 +"WP2636","Common Pathways Underlying Drug Addiction","WP2636",56100,2340,0.576 +"WP2876","Pregnane X Receptor pathway","WP2876",41800,2320,0.576 +"WP4742","Ketogenesis and Ketolysis","WP4742",18400,2300,0.577 +"WP3851","TLR4 Signaling and Tolerance","WP3851",58900,2360,0.584 +"WP2916","Interactome of polycomb repressive complex 2 (PRC2) ","WP2916",37400,2330,0.586 +"WP4191","Caloric restriction and aging","WP4191",18500,2310,0.587 +"WP134","Pentose Phosphate Metabolism","WP134",15400,2200,0.589 +"WP3932","Focal Adhesion-PI3K-Akt-mTOR-signaling pathway","WP3932",581000,2390,0.589 +"WP395","IL-4 Signaling Pathway","WP395",125000,2360,0.592 +"WP2272","Pathogenic Escherichia coli infection","WP2272",110000,2330,0.594 +"WP704","Methylation Pathways","WP704",16100,2300,0.595 +"WP399","Wnt Signaling Pathway and Pluripotency","WP399",204000,2370,0.596 +"WP4541","Hippo-Merlin Signaling Dysregulation","WP4541",222000,2360,0.597 +"WP3593","MicroRNA for Targeting Cancer Growth and Vascularization in Glioblastoma","WP3593",15700,2250,0.599 +"WP47","Hedgehog Signaling Pathway Netpath","WP47",27800,2320,0.599 +"WP61","Notch Signaling Pathway Netpath","WP61",134000,2350,0.599 +"WP2036","TNF related weak inducer of apoptosis (TWEAK) Signaling Pathway","WP2036",94000,2350,0.605 +"WP3967","miR-509-3p alteration of YAP1/ECM axis","WP3967",38200,2240,0.608 +"WP2249","Metastatic brain tumor","WP2249",13300,2220,0.61 +"WP4141","PI3K/AKT/mTOR - VitD3 Signalling","WP4141",44100,2320,0.611 +"WP4537","Hippo-Yap signaling pathway","WP4537",50700,2300,0.613 +"WP4258","LncRNA involvement in canonical Wnt signaling and colorectal cancer","WP4258",179000,2360,0.614 +"WP2436","Dopamine metabolism","WP2436",20400,2260,0.616 +"WP3940","One carbon metabolism and related pathways","WP3940",91100,2340,0.617 +"WP51","Regulation of Actin Cytoskeleton","WP51",275000,2350,0.62 +"WP4595","Urea cycle and associated pathways","WP4595",37100,2320,0.625 +"WP4271","Vitamin B12 Disorders","WP4271",20500,2280,0.627 +"WP2854","Gene regulatory network modelling somitogenesis ","WP2854",13200,2200,0.628 +"WP2456","HIF1A and PPARG regulation of glycolysis","WP2456",13100,2180,0.63 +"WP3849","MAPK and NFkB Signalling Pathways Inhibited by Yersinia YopJ","WP3849",27000,2250,0.631 +"WP404","Nucleotide Metabolism","WP404",40400,2250,0.632 +"WP3933","Kennedy pathway from Sphingolipids","WP3933",27500,2290,0.639 +"WP477","Cytoplasmic Ribosomal Proteins","WP477",167000,1960,0.64 +"WP3300","Dual hijack model of Vif in HIV infection","WP3300",13000,2160,0.644 +"WP2380","Brain-Derived Neurotrophic Factor (BDNF) signaling pathway","WP2380",290000,2360,0.65 +"WP1544","MicroRNAs in cardiomyocyte hypertrophy","WP1544",179000,2350,0.653 +"WP2533","Glycerophospholipid Biosynthetic Pathway","WP2533",56900,2270,0.653 +"WP3943","Robo4 and VEGF Signaling Pathways Crosstalk","WP3943",13100,2190,0.653 +"WP4496","Signal transduction through IL1R","WP4496",68800,2290,0.653 +"WP712","Estrogen signaling pathway","WP712",47900,2280,0.656 +"WP4566","Translation inhibitors in chronically activated PDGFRA cells","WP4566",104000,2320,0.657 +"WP4562","Canonical NF-KB pathway","WP4562",17500,2190,0.667 +"WP4389","Bile Acids synthesis and enterohepatic circulation ","WP4389",10600,2110,0.668 +"WP3664","Regulation of Wnt/B-catenin Signaling by Small Molecule Compounds","WP3664",35900,2250,0.669 +"WP4297","Thiamine metabolic pathways","WP4297",17600,2200,0.67 +"WP619","Type II interferon signaling (IFNG)","WP619",67600,2180,0.672 +"WP3668","Hypothesized Pathways in Pathogenesis of Cardiovascular Disease","WP3668",52000,2260,0.677 +"WP391","Mitochondrial Gene Expression","WP391",35700,2230,0.678 +"WP4534","Mechanoregulation and pathology of YAP/TAZ via Hippo and non-Hippo mechanisms","WP4534",97900,2280,0.678 +"WP3612","Photodynamic therapy-induced NFE2L2 (NRF2) survival signaling","WP3612",46100,2200,0.679 +"WP1424","Globo Sphingolipid Metabolism","WP1424",44700,2230,0.68 +"WP4559","Interactions between immune cells and microRNAs in tumor microenvironment","WP4559",53000,2210,0.681 +"WP2795","Cardiac Hypertrophic Response","WP2795",119000,2330,0.683 +"WP2868","TCA Cycle Nutrient Utilization and Invasiveness of Ovarian Cancer","WP2868",10200,2040,0.684 +"WP127","IL-5 Signaling Pathway","WP127",87500,2300,0.687 +"WP3925","Amino Acid metabolism","WP3925",151000,2290,0.688 +"WP231","TNF alpha Signaling Pathway","WP231",204000,2320,0.69 +"WP3865","Novel intracellular components of RIG-I-like receptor (RLR) pathway","WP3865",117000,2300,0.694 +"WP4522","Metabolic pathway of LDL, HDL and TG, including diseases","WP4522",19300,2150,0.696 +"WP2882","Nuclear Receptors Meta-Pathway","WP2882",516000,2330,0.698 +"WP4666","Hepatitis B infection","WP4666",305000,2340,0.699 +"WP78","TCA Cycle (aka Krebs or citric acid cycle)","WP78",38300,2130,0.701 +"WP4792","Purine metabolism","WP4792",23800,2160,0.706 +"WP4216","Chromosomal and microsatellite instability in colorectal cancer ","WP4216",165000,2320,0.709 +"WP2374","Oncostatin M Signaling Pathway","WP2374",147000,2300,0.71 +"WP4142","Metabolism of Spingolipids in ER and Golgi apparatus","WP4142",32300,2150,0.714 +"WP3863","T-Cell antigen Receptor (TCR) pathway during Staphylococcus aureus infection","WP3863",112000,2240,0.715 +"WP2328","Allograft Rejection","WP2328",131000,2120,0.721 +"WP3845","Canonical and Non-canonical Notch signaling","WP3845",49200,2240,0.721 +"WP2884","NRF2 pathway","WP2884",218000,2270,0.722 +"WP4519","Cerebral Organic Acidurias, including diseases","WP4519",14500,2080,0.723 +"WP2037","Prolactin Signaling Pathway","WP2037",169000,2320,0.725 +"WP2813","Mammary gland development pathway - Embryonic development (Stage 1 of 4)","WP2813",23300,2120,0.725 +"WP3678","Amplification and Expansion of Oncogenic Pathways as Metastatic Traits","WP3678",36800,2160,0.726 +"WP3874","Canonical and Non-Canonical TGF-B signaling","WP3874",36500,2140,0.726 +"WP732","Serotonin Receptor 2 and ELK-SRF/GATA4 signaling","WP732",32600,2170,0.728 +"WP4197","The human immune response to tuberculosis","WP4197",49500,2150,0.729 +"WP1539","Angiogenesis","WP1539",53400,2220,0.73 +"WP4705","Pathways of nucleic acid metabolism and innate immune sensing","WP4705",27700,2130,0.731 +"WP4478","LTF danger signal response pathway","WP4478",30600,2180,0.732 +"WP4722","Glycerolipids and Glycerophospholipids","WP4722",39600,2200,0.735 +"WP2447","Amyotrophic lateral sclerosis (ALS)","WP2447",67500,2250,0.736 +"WP382","MAPK Signaling Pathway","WP382",457000,2350,0.739 +"WP299","Nuclear Receptors in Lipid Metabolism and Toxicity","WP299",33600,2100,0.742 +"WP2290","RalA downstream regulated genes","WP2290",23500,2130,0.747 +"WP3858","Toll-like Receptor Signaling related to MyD88","WP3858",59500,2200,0.747 +"WP2870","Extracellular vesicle-mediated signaling in recipient cells","WP2870",60200,2230,0.75 +"WP2035","Follicle Stimulating Hormone (FSH) signaling pathway","WP2035",47800,2170,0.751 +"WP2877","Vitamin D Receptor Pathway","WP2877",270000,2290,0.752 +"WP4494","Selective expression of chemokine receptors during T-cell polarization","WP4494",32100,2010,0.757 +"WP4153","Degradation pathway of sphingolipids, including diseases","WP4153",15900,1990,0.762 +"WP4564","Neural Crest Cell Migration during Development","WP4564",74600,2260,0.762 +"WP3844","PI3K-AKT-mTOR signaling pathway and therapeutic opportunities","WP3844",66900,2230,0.765 +"WP405","Eukaryotic Transcription Initiation","WP405",91000,2220,0.772 +"WP400","p38 MAPK Signaling Pathway","WP400",73700,2230,0.777 +"WP3945","TYROBP Causal Network","WP3945",118000,2080,0.779 +"WP2333","Trans-sulfuration pathway","WP2333",20800,2080,0.781 +"WP4685","Melanoma","WP4685",143000,2270,0.781 +"WP3937","Microglia Pathogen Phagocytosis Pathway","WP3937",72800,2020,0.782 +"WP364","IL-6 signaling pathway","WP364",92200,2250,0.783 +"WP4262","Breast cancer pathway","WP4262",280000,2310,0.783 +"WP4542","Overview of leukocyte-intrinsic Hippo pathway functions","WP4542",64600,2150,0.783 +"WP2805","exRNA mechanism of action and biogenesis","WP2805",9440,1890,0.785 +"WP716","Vitamin A and Carotenoid Metabolism","WP716",50300,2190,0.786 +"WP2637","Structural Pathway of Interleukin 1 (IL-1)","WP2637",109000,2230,0.787 +"WP3651","Pathways Affected in Adenoid Cystic Carcinoma","WP3651",124000,2210,0.795 +"WP3286","Copper homeostasis","WP3286",104000,2220,0.797 +"WP3853","ERK Pathway in Huntington's Disease","WP3853",26900,2070,0.808 +"WP3969","H19 action Rb-E2F1 signaling and CDK-Beta-catenin activity","WP3969",28800,2060,0.809 +"WP4241","Type 2 papillary renal cell carcinoma","WP4241",65500,2180,0.814 +"WP4292","Methionine metabolism leading to Sulphur Amino Acids and related disorders","WP4292",18000,2000,0.816 +"WP4721","Eicosanoid metabolism via Lipo Oxygenases (LOX)","WP4721",41900,2090,0.819 +"WP205","IL-7 Signaling Pathway","WP205",52600,2110,0.825 +"WP3634","Insulin signalling in human adipocytes (normal condition)","WP3634",16000,2000,0.826 +"WP3635","Insulin signalling in human adipocytes (diabetic condition)","WP3635",16000,2000,0.826 +"WP4150","Wnt Signaling in Kidney Disease","WP4150",57900,2140,0.827 +"WP4479","Supression of HMGB1 mediated inflammation by THBD","WP4479",17300,1930,0.827 +"WP22","IL-9 Signaling Pathway","WP22",30300,2020,0.828 +"WP2942","DDX1 as a regulatory component of the Drosha microprocessor","WP2942",11100,1840,0.828 +"WP313","Signaling of Hepatocyte Growth Factor Receptor","WP313",73400,2160,0.828 +"WP4223","Ras Signaling","WP4223",326000,2300,0.828 +"WP4582","Cancer immunotherapy by CTLA4 blockade","WP4582",23500,1960,0.829 +"WP2034","Leptin signaling pathway","WP2034",167000,2230,0.831 +"WP4210","Tryptophan catabolism leading to NAD+ production","WP4210",21700,1970,0.833 +"WP288","NLR Proteins","WP288",14800,1860,0.835 +"WP366","TGF-beta Signaling Pathway","WP366",290000,2270,0.835 +"WP438","Non-homologous end joining","WP438",19800,1980,0.835 +"WP2513","Nanoparticle triggered regulated necrosis","WP2513",20800,1890,0.837 +"WP4656","Joubert Syndrome","WP4656",154000,2230,0.837 +"WP4255","Non-small cell lung cancer","WP4255",150000,2240,0.838 +"WP23","B Cell Receptor Signaling Pathway","WP23",204000,2220,0.842 +"WP304","Kit receptor signaling pathway","WP304",130000,2200,0.842 +"WP1559","TFs Regulate miRNAs related to cardiac hypertrophy","WP1559",13400,1910,0.845 +"WP3645","NAD+ biosynthetic pathways","WP3645",35200,2070,0.847 +"WP437","EGF/EGFR Signaling Pathway","WP437",349000,2250,0.849 +"WP4018","Pathways in clear cell renal cell carcinoma","WP4018",177000,2240,0.85 +"WP696","Benzo(a)pyrene metabolism","WP696",11400,1630,0.85 +"WP4565","Neural Crest Cell Migration in Cancer","WP4565",79000,2200,0.851 +"WP3614","Photodynamic therapy-induced HIF-1 survival signaling","WP3614",71000,2150,0.853 +"WP69","T-Cell antigen Receptor (TCR) Signaling Pathway","WP69",174000,2120,0.853 +"WP286","IL-3 Signaling Pathway","WP286",96100,2180,0.854 +"WP4483","Relationship between inflammation, COX-2 and EGFR","WP4483",45700,2080,0.856 +"WP4549","Fragile X Syndrome ","WP4549",209000,2230,0.859 +"WP49","IL-2 Signaling Pathway","WP49",87900,2140,0.86 +"WP4747","Netrin-UNC5B signaling Pathway","WP4747",95400,2170,0.863 +"WP2873","Aryl Hydrocarbon Receptor Pathway","WP2873",65000,2100,0.866 +"WP1584","Type II diabetes mellitus","WP1584",27400,1960,0.867 +"WP368","Mitochondrial LC-Fatty Acid Beta-Oxidation","WP368",31500,1970,0.867 +"WP3303","RAC1/PAK1/p38/MMP2 Pathway","WP3303",136000,2190,0.871 +"WP3931","ESC Pluripotency Pathways","WP3931",187000,2250,0.871 +"WP4206","Hereditary leiomyomatosis and renal cell carcinoma pathway","WP4206",38500,2030,0.873 +"WP422","MAPK Cascade","WP422",70400,2130,0.873 +"WP3982","miRNA regulation of p53 pathway in prostate cancer","WP3982",47700,2070,0.874 +"WP481","Insulin Signaling","WP481",340000,2270,0.874 +"WP3934","Leptin and adiponectin","WP3934",14900,1870,0.879 +"WP4301","Inhibition of exosome biogenesis and secretion by Manumycin A in CRPC cells","WP4301",35800,1990,0.879 +"WP4655","Cytosolic DNA-sensing pathway","WP4655",118000,2150,0.879 +"WP4159","GABA receptor Signaling","WP4159",25200,1940,0.881 +"WP2828","Bladder Cancer","WP2828",81500,2140,0.882 +"WP4263","Pancreatic adenocarcinoma pathway","WP4263",188000,2220,0.883 +"WP2018","RANKL/RANK (Receptor activator of NFKB (ligand)) Signaling Pathway","WP2018",112000,2160,0.887 +"WP75","Toll-like Receptor Signaling Pathway","WP75",170000,2180,0.889 +"WP2453","TCA Cycle and Deficiency of Pyruvate Dehydrogenase complex (PDHc)","WP2453",27800,1850,0.892 +"WP4585","Cancer immunotherapy by PD-1 blockade","WP4585",38000,1810,0.892 +"WP4561","Cell migration and invasion through p75NTR","WP4561",59200,2110,0.894 +"WP691","Tamoxifen metabolism","WP691",7830,1570,0.894 +"WP4239","Epithelial to mesenchymal transition in colorectal cancer","WP4239",278000,2190,0.895 +"WP106","Alanine and aspartate metabolism","WP106",12100,1720,0.896 +"WP4723","Omega-3/Omega-6 FA synthesis","WP4723",20000,1820,0.896 +"WP185","Integrin-mediated Cell Adhesion","WP185",188000,2160,0.899 +"WP2324","AGE/RAGE pathway","WP2324",138000,2180,0.899 +"WP3859","TGF-B Signaling in Thyroid Cells for Epithelial-Mesenchymal Transition","WP3859",32500,1910,0.899 +"WP325","Triacylglyceride Synthesis","WP325",26000,1860,0.906 +"WP363","Wnt Signaling Pathway (Netpath)","WP363",103000,2140,0.91 +"WP2572","Primary Focal Segmental Glomerulosclerosis FSGS","WP2572",123000,2110,0.911 +"WP4313","Ferroptosis","WP4313",73300,2040,0.915 +"WP2261","Signaling Pathways in Glioblastoma","WP2261",176000,2200,0.917 +"WP43","Oxidation by Cytochrome P450","WP43",58700,1960,0.917 +"WP4136","Fibrin Complement Receptor 3 Signaling Pathway","WP4136",60500,2020,0.918 +"WP673","ErbB Signaling Pathway","WP673",176000,2170,0.919 +"WP2643","Nanoparticle-mediated activation of receptor signaling","WP2643",54800,1960,0.92 +"WP4504","Cysteine and methionine catabolism","WP4504",24200,1860,0.922 +"WP453","Inflammatory Response Pathway","WP453",39800,1810,0.922 +"WP4746","Thyroid hormones production and their peripheral downstream signalling effects regarding congenital hypothyroidism","WP4746",141000,2140,0.925 +"WP1449","Regulation of toll-like receptor signaling pathway","WP1449",242000,2180,0.926 +"WP143","Fatty Acid Beta Oxidation","WP143",53400,1980,0.928 +"WP244","Alpha 6 Beta 4 signaling pathway","WP244",65500,1990,0.928 +"WP4659","Gastrin Signaling Pathway","WP4659",229000,2180,0.929 +"WP3869","Cannabinoid receptor signaling","WP3869",44600,1940,0.933 +"WP195","IL-1 signaling pathway","WP195",116000,2110,0.934 +"WP3965","Lipid Metabolism Pathway","WP3965",52000,2000,0.934 +"WP3981","miRNA regulation of prostate cancer signaling pathways","WP3981",63500,1980,0.935 +"WP12","Osteoclast Signaling","WP12",21300,1770,0.937 +"WP1982","Sterol Regulatory Element-Binding Proteins (SREBP) signalling","WP1982",138000,2120,0.937 +"WP4146","Macrophage markers","WP4146",12200,1350,0.946 +"WP100","Glutathione metabolism","WP100",27300,1700,0.949 +"WP3413","NOTCH1 regulation of human endothelial cell calcification","WP3413",28900,1810,0.952 +"WP111","Electron Transport Chain (OXPHOS system in mitochondria)","WP111",125000,1780,0.956 +"WP615","Senescence and Autophagy in Cancer","WP615",199000,2140,0.957 +"WP1433","Nucleotide-binding Oligomerization Domain (NOD) pathway","WP1433",59400,1860,0.959 +"WP4329","miRNAs involvement in the immune response in sepsis","WP4329",62200,1940,0.959 +"WP3879","4-hydroxytamoxifen, Dexamethasone, and Retinoic Acids Regulation of p27 Expression","WP3879",31300,1740,0.961 +"WP4155","Endometrial cancer","WP4155",123000,2080,0.961 +"WP3676","BDNF-TrkB Signaling","WP3676",59300,1980,0.962 +"WP4352","Ciliary landscape","WP4352",419000,2160,0.962 +"WP4536","Genes related to primary cilium development (based on CRISPR)","WP4536",180000,2020,0.968 +"WP1471","Target Of Rapamycin (TOR) Signaling","WP1471",65800,1930,0.969 +"WP357","Fatty Acid Biosynthesis","WP357",36700,1840,0.969 +"WP4396","Nonalcoholic fatty liver disease","WP4396",273000,2020,0.971 +"WP4205","MET in type 1 papillary renal cell carcinoma","WP4205",105000,2020,0.972 +"WP2509","Nanoparticle triggered autophagic cell death","WP2509",37700,1790,0.978 +"WP581","EPO Receptor Signaling","WP581",46000,1840,0.979 +"WP2526","PDGF Pathway","WP2526",75100,1920,0.98 +"WP692","Sulfation Biotransformation Reaction","WP692",6720,1120,0.983 +"WP702","Metapathway biotransformation Phase I and II","WP702",175000,1950,0.983 +"WP3915","Angiopoietin Like Protein 8 Regulatory Pathway","WP3915",242000,2070,0.984 +"WP4758","Nephrotic syndrome","WP4758",60900,1850,0.984 +"WP534","Glycolysis and Gluconeogenesis","WP534",60600,1830,0.984 +"WP4217","Ebola Virus Pathway on Host","WP4217",239000,2020,0.985 +"WP710","DNA Damage Response (only ATM dependent)","WP710",207000,2070,0.988 +"WP4674","Head and Neck Squamous Cell Carcinoma","WP4674",129000,1960,0.991 +"WP623","Oxidative phosphorylation","WP623",56200,1520,0.993 +"WP4324","Mitochondrial complex I assembly model OXPHOS system","WP4324",69700,1550,0.995 +"WP3680","Association Between Physico-Chemical Features and Toxicity Associated Pathways","WP3680",107000,1950,0.996 +"WP4577","Neurodegeneration with brain iron accumulation (NBIA) subtypes pathway","WP4577",73600,1710,0.998 +"WP697","Estrogen metabolism","WP697",7800,867,0.999 +"WP4532","Intraflagellar transport proteins binding to dynein","WP4532",30900,1410,1 diff --git a/statistics-enrichment-analysis/association_results/bladder_cancer_diff_exp_results.csv b/statistics-enrichment-analysis/association_results/bladder_cancer_diff_exp_results.csv new file mode 100644 index 0000000..608633b --- /dev/null +++ b/statistics-enrichment-analysis/association_results/bladder_cancer_diff_exp_results.csv @@ -0,0 +1,12265 @@ +"Gene","baseMean","log2FoldChange","lfcSE","stat","pvalue","padj" +"2",60441.9949982826,-2.81518262410458,0.249721229329308,-11.2733011593187,1.77777061848998e-29,2.18025788651611e-25 +"144568",5647.27733329461,1.76837317447267,0.737339111764371,2.39831733629477,0.0164705891218147,1 +"53947",2542.44676154949,-1.08766112684586,0.282425533447364,-3.85114303784637,0.000117567802472002,1 +"8086",1731.31151871993,0.430613932325569,0.112871100569799,3.81509465356264,0.000136130743362086,1 +"65985",1423.46418384702,0.60694857867681,0.118930266407384,5.10339879839981,3.3360694976517e-07,0.00409135563192005 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