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
Hepatitis C	10	23586 4939 7098 6772 10379 3665 4940 3434 4938 6773	C=134;O=10;E=0.20;R=49.51;rawP=9.22e-15;adjP=7.38e-14
RIG-I-like receptor signaling pathway	5	23586 3665 79132 64135 9636	C=71;O=5;E=0.11;R=46.72;rawP=8.01e-08;adjP=3.20e-07
Cytosolic DNA-sensing pathway	3	23586 103 3665	C=56;O=3;E=0.08;R=35.54;rawP=8.55e-05;adjP=0.0002
Toll-like receptor signaling pathway	3	3665 7098 6772	C=102;O=3;E=0.15;R=19.51;rawP=0.0005;adjP=0.0010
Osteoclast differentiation	3	6773 6772 10379	C=128;O=3;E=0.19;R=15.55;rawP=0.0010;adjP=0.0016
Jak-STAT signaling pathway	3	6773 6772 10379	C=155;O=3;E=0.23;R=12.84;rawP=0.0017;adjP=0.0023
Chemokine signaling pathway	2	6773 6772	C=189;O=2;E=0.28;R=7.02;rawP=0.0332;adjP=0.0379
Metabolic pathways	2	129607 51056	C=1130;O=2;E=1.70;R=1.17;rawP=0.5108;adjP=0.5108

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).