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: .05, 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
Metabolic pathways	22	6609 27235 56267 128869 5315 6697 23382 80308 3705 203 1633 55229 80347 81490 3373 2805 132789 3145 8694 1717 529 7167	C=1130;O=22;E=7.65;R=2.88;rawP=1.11e-05;adjP=0.0007
Pathways in cancer	10	51588 3326 1950 1612 1855 841 7422 3815 1487 5605	C=326;O=10;E=2.21;R=4.53;rawP=8.65e-05;adjP=0.0018
Endocytosis	8	1950 55616 9525 29924 11267 3815 3303 3304	C=201;O=8;E=1.36;R=5.88;rawP=7.46e-05;adjP=0.0018
Bladder cancer	4	7422 5605 1950 1612	C=42;O=4;E=0.28;R=14.07;rawP=0.0002;adjP=0.0031
Prion diseases	3	733 5605 3303	C=35;O=3;E=0.24;R=12.66;rawP=0.0017;adjP=0.0183
Antigen processing and presentation	4	3112 3326 3303 3304	C=76;O=4;E=0.51;R=7.77;rawP=0.0018;adjP=0.0183
Ubiquitin mediated proteolysis	5	51588 7317 54926 9616 7332	C=135;O=5;E=0.91;R=5.47;rawP=0.0023;adjP=0.0200
Notch signaling pathway	3	1855 51107 1487	C=47;O=3;E=0.32;R=9.43;rawP=0.0040;adjP=0.0305
Protein processing in endoplasmic reticulum	5	23640 3326 3303 3304 10113	C=165;O=5;E=1.12;R=4.48;rawP=0.0055;adjP=0.0322
Selenocompound metabolism	2	56267 114112	C=17;O=2;E=0.12;R=17.38;rawP=0.0058;adjP=0.0322
Pantothenate and CoA biosynthesis	2	55229 80347	C=16;O=2;E=0.11;R=18.46;rawP=0.0051;adjP=0.0322
NOD-like receptor signaling pathway	3	10910 841 3326	C=58;O=3;E=0.39;R=7.64;rawP=0.0072;adjP=0.0366

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).