MAIN KEGG FILE RESULTS

	WEB-based GEne SeT AnaLysis Toolkit

	*Translating gene lists into biological insights...*

User data and parameters: User data: textAreaUpload.txt, Organism: hsapiens, Id Type: ensembl_gene_stable_id, Ref Set: entrezgene, Significance Level: Top10, Statistics Test: Hypergeometric, MTC: BH, Minimum: 2

This table lists the enriched KEGG pathways, number of Entrez IDs in your user data set for the pathway, the corresponding Entrez IDs, and the statistics for the enriched pathway.
The statistic column lists:

C: the number of reference genes in the category
O: the number of genes in the gene set and also in the category
E: the expected number in the category
R: ratio of enrichment
rawP: p value from hypergeometric test
adjP: p value adjusted by the multiple test adjustment

Finally, the pathway name is linked to KEGG where the user ids are highlighted, the number of user gene ids is linked to a table with information about the user ids, and the Entrez IDs are linked to Entrez Gene.

PathwayName	#Gene	EntrezGene	Statistics
Vasopressin-regulated water reabsorption	4	5869 1780 115 1639	C=44;O=4;E=0.13;R=30.39;rawP=9.45e-06;adjP=0.0003
Endometrial cancer	3	5170 1495 1950	C=52;O=3;E=0.16;R=19.29;rawP=0.0005;adjP=0.0031
mTOR signaling pathway	3	51719 5170 2475	C=52;O=3;E=0.16;R=19.29;rawP=0.0005;adjP=0.0031
Focal adhesion	5	5170 5906 7414 1950 2909	C=200;O=5;E=0.60;R=8.36;rawP=0.0004;adjP=0.0031
Proteasome	3	5708 5707 5713	C=44;O=3;E=0.13;R=22.79;rawP=0.0003;adjP=0.0031
Leukocyte transendothelial migration	4	5906 7414 1495 2909	C=116;O=4;E=0.35;R=11.53;rawP=0.0004;adjP=0.0031
Protein processing in endoplasmic reticulum	4	80331 29979 5887 55666	C=165;O=4;E=0.49;R=8.10;rawP=0.0016;adjP=0.0074
Adherens junction	3	1457 7414 1495	C=73;O=3;E=0.22;R=13.74;rawP=0.0014;adjP=0.0074
Prostate cancer	3	5170 2475 1950	C=89;O=3;E=0.27;R=11.27;rawP=0.0025;adjP=0.0103
Endocytosis	4	163 5869 10193 1950	C=201;O=4;E=0.60;R=6.65;rawP=0.0032;adjP=0.0118

WebGestalt is currently developed and maintained by Jing Wang and Bing Zhang at the Zhang Lab. Other people who have made significant contribution to the project include Dexter Duncan, Stefan Kirov, Zhiao Shi, and Jay Snoddy.

Funding credits: NIH/NIAAA (U01 AA016662, U01 AA013512); NIH/NIDA (P01 DA015027); NIH/NIMH (P50 MH078028, P50 MH096972); NIH/NCI (U24 CA159988); NIH/NIGMS (R01 GM088822).