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
MAPK signaling pathway	15	7124 1844 9175 3164 4609 1326 4616 5534 5971 4791 2353 3553 1847 1843 3727	C=268;O=15;E=0.96;R=15.57;rawP=6.73e-14;adjP=3.70e-12
Osteoclast differentiation	11	7124 3726 2354 5971 2355 4791 2353 3553 8061 3727 9021	C=128;O=11;E=0.46;R=23.91;rawP=1.53e-12;adjP=2.80e-11
Cytokine-cytokine receptor interaction	14	7124 650 3976 1440 6347 3569 6355 2921 3576 2919 2920 8793 3553 5008	C=265;O=14;E=0.95;R=14.70;rawP=1.04e-12;adjP=2.80e-11
Malaria	8	7124 1440 6347 3569 6401 3576 3553 3383	C=51;O=8;E=0.18;R=43.65;rawP=1.30e-11;adjP=1.79e-10
NOD-like receptor signaling pathway	8	7124 2919 2920 7128 3553 6347 3569 3576	C=58;O=8;E=0.21;R=38.38;rawP=3.82e-11;adjP=4.20e-10
Rheumatoid arthritis	8	7124 2919 2353 3553 6347 3569 3383 3576	C=91;O=8;E=0.33;R=24.46;rawP=1.53e-09;adjP=1.40e-08
African trypanosomiasis	5	7124 3553 3569 6401 3383	C=35;O=5;E=0.13;R=39.75;rawP=1.67e-07;adjP=1.31e-06
Pathways in cancer	10	650 5743 3569 4609 3576 11186 4791 1017 9618 2353	C=326;O=10;E=1.17;R=8.53;rawP=3.31e-07;adjP=2.28e-06
Jak-STAT signaling pathway	7	3976 1440 5292 3569 4609 9021 5008	C=155;O=7;E=0.56;R=12.57;rawP=1.61e-06;adjP=9.84e-06
Toll-like receptor signaling pathway	6	7124 2353 3553 3569 1326 3576	C=102;O=6;E=0.37;R=16.37;rawP=1.98e-06;adjP=1.09e-05

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).