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
Metabolic pathways	23	57452 3704 594 2593 7371 134147 56894 5213 4507 8277 7263 7915 5860 23305 55790 8707 6713 5337 54480 55454 8395 11112 4522	C=1130;O=23;E=4.93;R=4.67;rawP=1.07e-09;adjP=3.96e-08
Arrhythmogenic right ventricular cardiomyopathy (ARVC)	6	81 87 51176 488 1832 783	C=74;O=6;E=0.32;R=18.60;rawP=9.17e-07;adjP=1.70e-05
Glycosaminoglycan biosynthesis - chondroitin sulfate	3	54480 55454 55790	C=22;O=3;E=0.10;R=31.28;rawP=0.0001;adjP=0.0012
Cardiac muscle contraction	4	7170 488 783 478	C=77;O=4;E=0.34;R=11.92;rawP=0.0004;adjP=0.0037
Adherens junction	3	81 87 51176	C=73;O=3;E=0.32;R=9.43;rawP=0.0041;adjP=0.0208
Pentose phosphate pathway	2	5213 8277	C=27;O=2;E=0.12;R=16.99;rawP=0.0062;adjP=0.0208
Dilated cardiomyopathy	3	7170 488 783	C=90;O=3;E=0.39;R=7.65;rawP=0.0073;adjP=0.0208
Thyroid cancer	2	51176 7170	C=29;O=2;E=0.13;R=15.82;rawP=0.0071;adjP=0.0208
Hypertrophic cardiomyopathy (HCM)	3	7170 488 783	C=83;O=3;E=0.36;R=8.29;rawP=0.0058;adjP=0.0208
Homologous recombination	2	641 4683	C=28;O=2;E=0.12;R=16.39;rawP=0.0066;adjP=0.0208

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).