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
Staphylococcus aureus infection	4	2215 2357 2358 2204	C=55;O=4;E=0.07;R=56.01;rawP=8.27e-07;adjP=1.08e-05
Cytokine-cytokine receptor interaction	5	8794 3577 8807 3579 1441	C=265;O=5;E=0.34;R=14.53;rawP=2.49e-05;adjP=0.0002
Osteoclast differentiation	3	11026 10326 2215	C=128;O=3;E=0.17;R=18.05;rawP=0.0006;adjP=0.0026
Epithelial cell signaling in Helicobacter pylori infection	2	3577 3579	C=68;O=2;E=0.09;R=22.65;rawP=0.0036;adjP=0.0117
Amoebiasis	2	1992 383	C=106;O=2;E=0.14;R=14.53;rawP=0.0085;adjP=0.0221
Phagosome	2	2215 2204	C=153;O=2;E=0.20;R=10.07;rawP=0.0170;adjP=0.0283
Jak-STAT signaling pathway	2	894 1441	C=155;O=2;E=0.20;R=9.94;rawP=0.0174;adjP=0.0283
Natural killer cell mediated cytotoxicity	2	8794 2215	C=136;O=2;E=0.18;R=11.33;rawP=0.0136;adjP=0.0283
Chemokine signaling pathway	2	3577 3579	C=189;O=2;E=0.25;R=8.15;rawP=0.0252;adjP=0.0364
Endocytosis	2	3577 3579	C=201;O=2;E=0.26;R=7.66;rawP=0.0282;adjP=0.0367

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).