diff --git a/statistics-enrichment-analysis/Illustration_of_Enrichment_Analyses.Rmd b/statistics-enrichment-analysis/Illustration_of_Enrichment_Analyses.Rmd index b76b6e1..2ae84a3 100644 --- a/statistics-enrichment-analysis/Illustration_of_Enrichment_Analyses.Rmd +++ b/statistics-enrichment-analysis/Illustration_of_Enrichment_Analyses.Rmd @@ -14,7 +14,7 @@ Let us load the libraries requires for the various analyses described in this do ##libraries for "tidy" manipulation of data suppressMessages(library(tidyverse)) -##libraries for "tidy" manipulation of data +##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 diff --git a/statistics-enrichment-analysis/Stats_Enrich_Analyses.pptx b/statistics-enrichment-analysis/Stats_Enrich_Analyses.pptx index a04b9aa..dd1292a 100644 Binary files a/statistics-enrichment-analysis/Stats_Enrich_Analyses.pptx and b/statistics-enrichment-analysis/Stats_Enrich_Analyses.pptx differ diff --git a/statistics-enrichment-analysis/Stats_Enrich_Analyses_Materials_August_2021/Illustration_of_Enrichment_Analyses.Rmd b/statistics-enrichment-analysis/Stats_Enrich_Analyses_Materials_August_2021/Illustration_of_Enrichment_Analyses.Rmd index b76b6e1..848792f 100644 --- a/statistics-enrichment-analysis/Stats_Enrich_Analyses_Materials_August_2021/Illustration_of_Enrichment_Analyses.Rmd +++ b/statistics-enrichment-analysis/Stats_Enrich_Analyses_Materials_August_2021/Illustration_of_Enrichment_Analyses.Rmd @@ -9,7 +9,7 @@ output: html_document knitr::opts_chunk$set(echo = TRUE) ``` -Let us load the libraries requires for the various analyses described in this document +Let us first load the libraries required for the various analyses described in this document ```{r} ##libraries for "tidy" manipulation of data suppressMessages(library(tidyverse)) @@ -47,21 +47,23 @@ The methods we will use to answer the scientific question are described below: 2. Perform differential expression analyses -3. Run six different enrichment analyses methods. +3. Load the gene sets/pathway databases of interest + +4. 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 ... +**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, highlight 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?, +b. ... are we agnostic to 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 +## Load the data and understand the experimental design 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") @@ -70,14 +72,14 @@ tcga <- readRDS("bladder_cancer_tcga_summarized_experiment.rds") 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 +##quick summary of 38 samples. Note, the variable type has only one value BLCA, 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$BLOCK) -print("Look at the read counts of 4 genes for a 5 samples") +print("Look at the read counts of 4 genes for 5 samples") (assays(tcga))$exprs[1:4,1:5] @@ -91,7 +93,7 @@ dds.bc <- DESeqDataSet(tcga, design = ~ GROUP + BLOCK) dds.bc %<>% DESeq(.) -##variance stabilizing transformation to view the normalize data +##variance stabilizing transformation to view the normalized data vsd.bc <- dds.bc %>% vst(., blind=TRUE) @@ -103,6 +105,9 @@ vsd.bc %>% diff.res <- dds.bc %>% results(., contrast = c("GROUP", "1", "0"), pAdjustMethod="bonferroni") +##view the first few rows of the results +head(diff.res) + ##visualize the results using a Volcano Plot diff.res %>% as.data.frame() %>% @@ -110,13 +115,16 @@ diff.res %>% lab = rownames(.), x = 'log2FoldChange', y = 'padj', - xlim = c(-5, 8)) + xlim = c(-6, 6), + ylim = c(0,50), + title = NULL, + subtitle = NULL) -##output the results -diff.res %>% - as.data.frame() %>% - rownames_to_column('Gene') %>% - write.csv(., "bladder_cancer_diff_exp_results.csv", row.names = FALSE) +# ##output the results +# diff.res %>% +# as.data.frame() %>% +# rownames_to_column('Gene') %>% +# write.csv(., "bladder_cancer_diff_exp_results.csv", row.names = FALSE) ``` @@ -126,12 +134,15 @@ We will load the Gene Ontology and WikiPathways databases. Note, an additional d ##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) +##let us look at what is there in the database_lists object; 3 pairs of files corresponding to three databases. +(database_lists) ##WikiPathways list is a list of character vectors of Entrez IDs representing genes associated with each pathway head(wp_list) +##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) + ``` @@ -142,7 +153,7 @@ The input to this analyses is a list of genes of interest (here it would be the 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 +##pick the differentially expressed genes using 0.05 threshold for the adjusted p-value diff_genes <- diff.res %>% as.data.frame() %>% rownames_to_column('gene') %>% @@ -183,6 +194,7 @@ n <- sapply(res_ora$GeneRatio, function(x) as.numeric(strsplit(x, "/")[[1]][2])) M <- sapply(res_ora$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) @@ -191,8 +203,8 @@ res_ora %<>% mutate(odds_ratio=odds_ratio) head(res_ora) -res_ora %>% - write.csv(., "bladder_cancer_WikiPathways_ora.csv", row.names = FALSE) +# res_ora %>% +# write.csv(., "bladder_cancer_WikiPathways_ora.csv", row.names = FALSE) ``` @@ -225,8 +237,8 @@ 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) +# res_rSEA %>% dplyr::slice(order(Comp.adjP)) %>% +# write.csv(., "bladder_cancer_WikiPathways_rSEA.csv", row.names = FALSE) @@ -250,7 +262,7 @@ tcga.de <- readRDS("bladder_cancer_tcga_summarized_experiment_w_de_results.rds") # 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) +res_safe <- read.csv(paste0(getwd(), "/association_results/bladder_cancer_WikiPathways_safe_sample_perm.csv"), header = TRUE) ##View the first few rows of the results head(res_safe) ``` @@ -272,7 +284,7 @@ tcga.de <- readRDS("bladder_cancer_tcga_summarized_experiment_w_de_results.rds") # 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) +res_padog <- read.csv(paste0(getwd(), "/association_results/bladder_cancer_WikiPathways_padog_sample_perm.csv"), header = TRUE) ##View the first few rows of the results head(res_padog) @@ -295,7 +307,7 @@ tcga.de <- readRDS("bladder_cancer_tcga_summarized_experiment_w_de_results.rds") # 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) +res_gsea <- read.csv(paste0(getwd(), "/association_results/bladder_cancer_WikiPathways_gsea_sample_perm.csv"), header = TRUE) ##View the first few rows of the results head(res_gsea) @@ -334,7 +346,7 @@ 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) +# res_gsea_gene_perm %>% +# write.csv(., "bladder_cancer_WikiPathways_gsea_gene_perm.csv", row.names = FALSE) ``` diff --git a/statistics-enrichment-analysis/Stats_Enrich_Analyses_Materials_August_2021/Illustration_of_Enrichment_Analyses.html b/statistics-enrichment-analysis/Stats_Enrich_Analyses_Materials_August_2021/Illustration_of_Enrichment_Analyses.html index 599650d..69c34b5 100644 --- a/statistics-enrichment-analysis/Stats_Enrich_Analyses_Materials_August_2021/Illustration_of_Enrichment_Analyses.html +++ b/statistics-enrichment-analysis/Stats_Enrich_Analyses_Materials_August_2021/Illustration_of_Enrichment_Analyses.html @@ -369,7 +369,7 @@ summary { -

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

+

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

##libraries for "tidy" manipulation of data 
 suppressMessages(library(tidyverse))
 
@@ -404,20 +404,21 @@ suppressMessages(library(GSEABenchmarkeR))

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

  2. Perform differential expression analyses

    3. +

  3. Load the gene sets/pathway databases of interest

  4. 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 …

+

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

  4. … 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?

  5. … 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

+
+

Load the data and understand the experimental design

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

tcga <- readRDS("bladder_cancer_tcga_summarized_experiment.rds")
 
@@ -434,7 +435,7 @@ tcga
## 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 
+
##quick summary of 38 samples. Note, the variable type has only one value BLCA, 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
@@ -467,8 +468,8 @@ colData(tcga)

 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"
+print("Look at the read counts of 4 genes for 5 samples") +
## [1] "Look at the read counts of 4 genes for 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
@@ -495,7 +496,7 @@ dds.bc <- DESeqDataSet(tcga, design = ~ GROUP + BLOCK)
 dds.bc %<>% DESeq(.)
 
 
-##variance stabilizing transformation to view the normalize data
+##variance stabilizing transformation to view the normalized data
 vsd.bc <- dds.bc %>%
   vst(., blind=TRUE)
 
@@ -507,20 +508,44 @@ vsd.bc %>%
 diff.res <- dds.bc %>% 
   results(., contrast = c("GROUP", "1", "0"), pAdjustMethod="bonferroni")
 
-##visualize the results using a Volcano Plot
+##view the first few rows of the results
+head(diff.res)
+
## log2 fold change (MLE): GROUP 1 vs 0 
+## Wald test p-value: GROUP 1 vs 0 
+## DataFrame with 6 rows and 6 columns
+##                baseMean    log2FoldChange             lfcSE              stat
+##               <numeric>         <numeric>         <numeric>         <numeric>
+## 2      60441.9949982826 -2.81518262410458 0.249721229329308 -11.2733011593187
+## 144568 5647.27733329461  1.76837317447267 0.737339111764371  2.39831733629477
+## 53947  2542.44676154949 -1.08766112684586 0.282425533447364 -3.85114303784637
+## 8086   1731.31151871993 0.430613932325569 0.112871100569799  3.81509465356264
+## 65985  1423.46418384702  0.60694857867681 0.118930266407384  5.10339879839981
+## 51166  328.399449333533 0.161071193249593 0.260770583227886  0.61767393873884
+##                      pvalue                 padj
+##                   <numeric>            <numeric>
+## 2      1.77777061848998e-29 2.18025788651611e-25
+## 144568   0.0164705891218147                    1
+## 53947  0.000117567802472002                    1
+## 8086   0.000136130743362086                    1
+## 65985   3.3360694976517e-07  0.00409135563192005
+## 51166      0.53679029446777                    1
+
##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)
+ xlim = c(-6, 6), + ylim = c(0,50), + title = NULL, + subtitle = NULL) +

+
# ##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

@@ -528,15 +553,10 @@ diff.res %>% 
##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
+##let us look at what is there in the database_lists object; 3 pairs of files corresponding to three databases. +(database_lists) +
## [1] "wp_list"          "wp_annotation"    "pfocr_list"       "pfocr_annotation"
+## [5] "go_list"          "go_annotation"
##WikiPathways list is a list of character vectors of Entrez IDs representing genes associated with each pathway
 head(wp_list)
## $WP100
@@ -601,6 +621,15 @@ head(wp_list)
## $WP12 ## [1] "8792" "3690" "8111" "5155" "8600" "6696" "4982" "9550" "56302" ## [10] "1513" "3456" "3454" "7965" "5599" "6548" "54" +
##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

Illustration of different enrichment analyses methods

@@ -609,7 +638,7 @@ head(wp_list)

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
+##pick the differentially expressed genes using 0.05 threshold for the adjusted p-value
 diff_genes <- diff.res %>%
     as.data.frame() %>%
     rownames_to_column('gene') %>%
@@ -677,6 +706,7 @@ n <- sapply(res_ora$GeneRatio, function(x) as.numeric(strsplit(x, "/&quo
 M <- sapply(res_ora$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)
@@ -711,8 +741,8 @@ head(res_ora)
## 4 48 2.758283 ## 5 30 3.693418 ## 6 46 2.383944 -
res_ora %>%
-  write.csv(., "bladder_cancer_WikiPathways_ora.csv", row.names = FALSE)
+
# res_ora %>%
+#   write.csv(., "bladder_cancer_WikiPathways_ora.csv", row.names = FALSE)

Simultaneous Enrichment Analyses (SEA)

@@ -757,8 +787,8 @@ res_rSEA %>% ## 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)
+
# res_rSEA %>% dplyr::slice(order(Comp.adjP)) %>%
+#   write.csv(., "bladder_cancer_WikiPathways_rSEA.csv", row.names = FALSE)

Significance Analyses of Function and Expression (SAFE)

@@ -777,7 +807,7 @@ tcga.de <- readRDS("bladder_cancer_tcga_summarized_experiment_w_de_resul # 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) +res_safe <- read.csv(paste0(getwd(), "/association_results/bladder_cancer_WikiPathways_safe_sample_perm.csv"), header = TRUE) ##View the first few rows of the results head(res_safe) 
##   set_id                                                            name
@@ -811,7 +841,7 @@ head(res_safe)
# 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) +res_padog <- read.csv(paste0(getwd(), "/association_results/bladder_cancer_WikiPathways_padog_sample_perm.csv"), header = TRUE) ##View the first few rows of the results head(res_padog) 
##   set_id                                                            name
@@ -845,7 +875,7 @@ head(res_padog)
# 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) +res_gsea <- read.csv(paste0(getwd(), "/association_results/bladder_cancer_WikiPathways_gsea_sample_perm.csv"), header = TRUE) ##View the first few rows of the results head(res_gsea) 
##   set_id
@@ -913,12 +943,12 @@ head(res_gsea_gene_perm)
## 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 +## WP3888 -0.4627917 -1.482003 0.001031992 0.03507439 0.02645741 2506 +## WP4172 -0.5049345 -1.580659 0.001085776 0.03507439 0.02645741 2187 +## WP3932 -0.5152809 -1.605383 0.001097695 0.03507439 0.02645741 2187 +## WP2882 -0.5290426 -1.645779 0.001103753 0.03507439 0.02645741 1655 +## WP382 -0.5817051 -1.788666 0.001124859 0.03507439 0.02645741 1531 +## WP306 -0.5635541 -1.709920 0.001156069 0.03507439 0.02645741 2687 ## leading_edge ## WP3888 tags=29%, list=20%, signal=24% ## WP4172 tags=31%, list=18%, signal=26% @@ -933,8 +963,8 @@ head(res_gsea_gene_perm) ## 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)
+
# res_gsea_gene_perm %>%
+#   write.csv(., "bladder_cancer_WikiPathways_gsea_gene_perm.csv", row.names = FALSE)
diff --git a/statistics-enrichment-analysis/Stats_Enrich_Analyses_Materials_August_2021/Stats_Enrich_Analyses.pptx b/statistics-enrichment-analysis/Stats_Enrich_Analyses_Materials_August_2021/Stats_Enrich_Analyses.pptx index a04b9aa..ea727d8 100644 Binary files a/statistics-enrichment-analysis/Stats_Enrich_Analyses_Materials_August_2021/Stats_Enrich_Analyses.pptx and b/statistics-enrichment-analysis/Stats_Enrich_Analyses_Materials_August_2021/Stats_Enrich_Analyses.pptx differ diff --git a/statistics-enrichment-analysis/Stats_Enrich_Analyses_Materials_August_2021/bladder_cancer_WikiPathways_ora.csv b/statistics-enrichment-analysis/Stats_Enrich_Analyses_Materials_August_2021/bladder_cancer_WikiPathways_ora.csv new file mode 100644 index 0000000..f9749c0 --- /dev/null +++ b/statistics-enrichment-analysis/Stats_Enrich_Analyses_Materials_August_2021/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/Stats_Enrich_Analyses_Materials_August_2021/bladder_cancer_WikiPathways_rSEA.csv b/statistics-enrichment-analysis/Stats_Enrich_Analyses_Materials_August_2021/bladder_cancer_WikiPathways_rSEA.csv new file mode 100644 index 0000000..e3fbbff --- /dev/null +++ b/statistics-enrichment-analysis/Stats_Enrich_Analyses_Materials_August_2021/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 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