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
Gap junction	6	112714 113457 10383 5605 2767 7277	C=90;O=6;E=0.53;R=11.23;rawP=1.69e-05;adjP=0.0012
Metabolic pathways	18	9588 6609 10554 54187 6697 23382 80308 3705 203 51082 1312 191 3145 8694 56994 5425 4357 2184	C=1130;O=18;E=6.71;R=2.68;rawP=0.0002;adjP=0.0029
Endocytosis	7	29924 128866 1173 26052 1212 5590 1785	C=201;O=7;E=1.19;R=5.87;rawP=0.0002;adjP=0.0029
Insulin signaling pathway	6	5499 369 207 5605 10211 5590	C=138;O=6;E=0.82;R=7.32;rawP=0.0002;adjP=0.0029
Ubiquitin mediated proteolysis	6	10273 27338 9817 54926 9616 7332	C=135;O=6;E=0.80;R=7.49;rawP=0.0002;adjP=0.0029
Pathogenic Escherichia coli infection	4	112714 113457 10383 7277	C=56;O=4;E=0.33;R=12.03;rawP=0.0003;adjP=0.0036
Protein processing in endoplasmic reticulum	6	10273 80700 267 10970 10113 5886	C=165;O=6;E=0.98;R=6.13;rawP=0.0005;adjP=0.0051
Cysteine and methionine metabolism	3	191 4357 23382	C=36;O=3;E=0.21;R=14.04;rawP=0.0013;adjP=0.0117
Phagosome	5	79659 112714 113457 10383 7277	C=153;O=5;E=0.91;R=5.51;rawP=0.0023;adjP=0.0184
Endometrial cancer	3	369 207 5605	C=52;O=3;E=0.31;R=9.72;rawP=0.0037;adjP=0.0266

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).