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
Apoptosis	5	8503 5613 330 4792 11213	C=87;O=5;E=0.18;R=28.17;rawP=1.02e-06;adjP=3.67e-05
Toxoplasmosis	4	8503 3459 330 4792	C=132;O=4;E=0.27;R=14.85;rawP=0.0002;adjP=0.0024
NOD-like receptor signaling pathway	3	10392 330 4792	C=58;O=3;E=0.12;R=25.35;rawP=0.0002;adjP=0.0024
Shigellosis	3	10392 9844 4792	C=61;O=3;E=0.12;R=24.10;rawP=0.0003;adjP=0.0027
Epithelial cell signaling in Helicobacter pylori infection	3	10392 245973 4792	C=68;O=3;E=0.14;R=21.62;rawP=0.0004;adjP=0.0029
Chemokine signaling pathway	4	8503 5613 9844 4792	C=189;O=4;E=0.39;R=10.37;rawP=0.0006;adjP=0.0036
Small cell lung cancer	3	8503 330 4792	C=85;O=3;E=0.17;R=17.30;rawP=0.0007;adjP=0.0036
Circadian rhythm - mammal	2	79365 5187	C=22;O=2;E=0.04;R=44.55;rawP=0.0009;adjP=0.0040
Chagas disease (American trypanosomiasis)	3	8503 3459 4792	C=104;O=3;E=0.21;R=14.14;rawP=0.0013;adjP=0.0052
Neurotrophin signaling pathway	3	8503 4792 11213	C=127;O=3;E=0.26;R=11.58;rawP=0.0023;adjP=0.0069

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).