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
Endocytosis	4	7042 8027 5590 1785	C=201;O=4;E=0.48;R=8.41;rawP=0.0014;adjP=0.0076
Pancreatic secretion	3	488 480 84647	C=101;O=3;E=0.24;R=12.56;rawP=0.0018;adjP=0.0076
Glycerophospholipid metabolism	3	10162 56894 84647	C=80;O=3;E=0.19;R=15.86;rawP=0.0009;adjP=0.0076
Cardiac muscle contraction	3	488 10479 480	C=77;O=3;E=0.18;R=16.47;rawP=0.0008;adjP=0.0076
Oocyte meiosis	3	5527 367 5501	C=112;O=3;E=0.26;R=11.33;rawP=0.0024;adjP=0.0082
Inositol phosphate metabolism	2	55300 3613	C=57;O=2;E=0.13;R=14.84;rawP=0.0081;adjP=0.0230
Renal cell carcinoma	2	7042 54583	C=70;O=2;E=0.17;R=12.08;rawP=0.0120;adjP=0.0291
Phosphatidylinositol signaling system	2	55300 3613	C=78;O=2;E=0.18;R=10.84;rawP=0.0148;adjP=0.0300
Hypertrophic cardiomyopathy (HCM)	2	488 7042	C=83;O=2;E=0.20;R=10.19;rawP=0.0166;adjP=0.0300
Metabolic pathways	7	55300 56894 54187 9588 262 84647 3613	C=1130;O=7;E=2.67;R=2.62;rawP=0.0179;adjP=0.0300

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).