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
Protein digestion and absorption	8	1292 1290 1277 1289 1291 1278 1281 1303	C=81;O=8;E=0.30;R=26.96;rawP=6.96e-10;adjP=2.23e-08
ECM-receptor interaction	7	1278 1292 1290 1277 1281 1289 1291	C=85;O=7;E=0.31;R=22.48;rawP=3.01e-08;adjP=4.82e-07
Focal adhesion	9	824 1292 1290 1277 1289 1291 1278 5294 1281	C=200;O=9;E=0.73;R=12.28;rawP=6.12e-08;adjP=6.53e-07
Amoebiasis	7	1278 1290 5294 1277 1281 9630 1289	C=106;O=7;E=0.39;R=18.03;rawP=1.39e-07;adjP=1.11e-06
Fc gamma R-mediated phagocytosis	4	5321 4082 4651 5294	C=94;O=4;E=0.34;R=11.62;rawP=0.0004;adjP=0.0026
Sulfur metabolism	2	55501 9061	C=13;O=2;E=0.05;R=41.99;rawP=0.0010;adjP=0.0053
Pancreatic secretion	3	5321 683 113	C=101;O=3;E=0.37;R=8.11;rawP=0.0062;adjP=0.0220
Chemokine signaling pathway	4	54331 7074 5294 113	C=189;O=4;E=0.69;R=5.78;rawP=0.0053;adjP=0.0220
GnRH signaling pathway	3	5321 4214 113	C=101;O=3;E=0.37;R=8.11;rawP=0.0062;adjP=0.0220
Regulation of actin cytoskeleton	4	23191 7074 5294 10788	C=213;O=4;E=0.78;R=5.13;rawP=0.0080;adjP=0.0256

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).