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
Cardiac muscle contraction	5	7134 4633 7168 7169 70	C=77;O=5;E=0.17;R=28.87;rawP=9.01e-07;adjP=1.62e-05
Regulation of actin cytoskeleton	7	2252 5500 10398 3682 4633 6237 2260	C=213;O=7;E=0.48;R=14.61;rawP=5.72e-07;adjP=1.62e-05
Hypertrophic cardiomyopathy (HCM)	5	7134 4633 7168 7169 70	C=83;O=5;E=0.19;R=26.78;rawP=1.31e-06;adjP=1.62e-05
Dilated cardiomyopathy	5	7134 4633 7168 7169 70	C=90;O=5;E=0.20;R=24.70;rawP=1.96e-06;adjP=1.81e-05
Wnt signaling pathway	5	5515 3725 817 1857 5663	C=150;O=5;E=0.34;R=14.82;rawP=2.37e-05;adjP=0.0002
Pathways in cancer	6	2252 3725 1857 6774 7048 2260	C=326;O=6;E=0.73;R=8.18;rawP=9.88e-05;adjP=0.0005
Oocyte meiosis	4	5500 5515 817 25847	C=112;O=4;E=0.25;R=15.88;rawP=0.0001;adjP=0.0005
Tight junction	4	5515 10398 4633 6237	C=132;O=4;E=0.30;R=13.47;rawP=0.0002;adjP=0.0009
MAPK signaling pathway	5	2252 3725 6237 7048 2260	C=268;O=5;E=0.60;R=8.29;rawP=0.0004;adjP=0.0016
Focal adhesion	4	5500 3725 10398 4633	C=200;O=4;E=0.45;R=8.89;rawP=0.0011;adjP=0.0041

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).