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
Tight junction	4	9414 11336 79784 208	C=132;O=4;E=0.24;R=16.54;rawP=0.0001;adjP=0.0013
Regulation of autophagy	2	8408 23710	C=34;O=2;E=0.06;R=32.11;rawP=0.0018;adjP=0.0087
Ubiquitin mediated proteolysis	3	10277 1642 134111	C=135;O=3;E=0.25;R=12.13;rawP=0.0020;adjP=0.0087
mTOR signaling pathway	2	8408 208	C=52;O=2;E=0.10;R=21.00;rawP=0.0041;adjP=0.0133
RNA degradation	2	4850 10766	C=71;O=2;E=0.13;R=15.38;rawP=0.0076;adjP=0.0198
Small cell lung cancer	2	1163 208	C=85;O=2;E=0.16;R=12.84;rawP=0.0107;adjP=0.0232
Pathways in cancer	3	1163 7481 208	C=326;O=3;E=0.60;R=5.02;rawP=0.0222;adjP=0.0335
Spliceosome	2	10594 10291	C=127;O=2;E=0.23;R=8.60;rawP=0.0229;adjP=0.0335
Osteoclast differentiation	2	8878 208	C=128;O=2;E=0.23;R=8.53;rawP=0.0232;adjP=0.0335
Insulin signaling pathway	2	5260 208	C=138;O=2;E=0.25;R=7.91;rawP=0.0267;adjP=0.0347

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).