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
Proteasome	5	5705 5710 5700 9491 5702	C=44;O=5;E=0.13;R=38.59;rawP=2.03e-07;adjP=3.65e-06
RNA transport	6	3646 10284 10289 8666 8667 1917	C=151;O=6;E=0.44;R=13.49;rawP=6.08e-06;adjP=5.47e-05
Ubiquitin mediated proteolysis	4	7320 6500 6923 9040	C=135;O=4;E=0.40;R=10.06;rawP=0.0007;adjP=0.0042
Oocyte meiosis	3	6500 7531 113	C=112;O=3;E=0.33;R=9.10;rawP=0.0045;adjP=0.0203
Spliceosome	3	24148 56259 10084	C=127;O=3;E=0.37;R=8.02;rawP=0.0064;adjP=0.0225
Vasopressin-regulated water reabsorption	2	9230 51143	C=44;O=2;E=0.13;R=15.44;rawP=0.0075;adjP=0.0225
Renal cell carcinoma	2	6923 2113	C=70;O=2;E=0.21;R=9.70;rawP=0.0182;adjP=0.0468
Glycerophospholipid metabolism	2	10423 56895	C=80;O=2;E=0.24;R=8.49;rawP=0.0234;adjP=0.0527
Pyrimidine metabolism	2	5432 83549	C=99;O=2;E=0.29;R=6.86;rawP=0.0347;adjP=0.0694
Cell cycle	2	6500 7531	C=124;O=2;E=0.37;R=5.48;rawP=0.0520;adjP=0.0936

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).