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
Fatty acid metabolism	6	2180 1374 3030 1376 3032 10449	C=43;O=6;E=0.03;R=214.92;rawP=2.53e-13;adjP=3.29e-12
PPAR signaling pathway	5	9415 2180 1374 1376 3158	C=70;O=5;E=0.05;R=110.02;rawP=9.30e-10;adjP=6.04e-09
Fatty acid elongation in mitochondria	3	3030 3032 10449	C=8;O=3;E=0.01;R=577.59;rawP=1.37e-08;adjP=5.94e-08
Valine, leucine and isoleucine degradation	4	3030 3158 3032 10449	C=44;O=4;E=0.03;R=140.02;rawP=1.89e-08;adjP=6.14e-08
Peroxisome	4	23417 847 2180 8800	C=79;O=4;E=0.05;R=77.99;rawP=2.06e-07;adjP=5.36e-07
Metabolic pathways	7	23417 847 2180 3030 3158 3032 10449	C=1130;O=7;E=0.73;R=9.54;rawP=6.09e-06;adjP=1.32e-05
Biosynthesis of unsaturated fatty acids	2	9415 3030	C=21;O=2;E=0.01;R=146.69;rawP=8.47e-05;adjP=0.0001
beta-Alanine metabolism	2	23417 3030	C=22;O=2;E=0.01;R=140.02;rawP=9.31e-05;adjP=0.0001
Insulin signaling pathway	3	5509 5256 6720	C=138;O=3;E=0.09;R=33.48;rawP=9.90e-05;adjP=0.0001
Butanoate metabolism	2	3030 3158	C=30;O=2;E=0.02;R=102.68;rawP=0.0002;adjP=0.0002

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).