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
PPAR signaling pathway	8	5468 5105 6319 7350 9370 335 5346 2167	C=70;O=8;E=0.21;R=37.62;rawP=4.70e-11;adjP=1.17e-09
Insulin signaling pathway	6	5792 5836 3991 5577 2194 5105	C=138;O=6;E=0.42;R=14.31;rawP=4.33e-06;adjP=5.41e-05
Pathways in cancer	6	3913 4292 2255 5468 5155 4286	C=326;O=6;E=0.99;R=6.06;rawP=0.0005;adjP=0.0042
Melanoma	3	2255 5155 4286	C=71;O=3;E=0.22;R=13.91;rawP=0.0013;adjP=0.0063
Neuroactive ligand-receptor interaction	5	7068 3952 9340 5733 624	C=272;O=5;E=0.83;R=6.05;rawP=0.0015;adjP=0.0063
Adipocytokine signaling pathway	3	3952 9370 5105	C=68;O=3;E=0.21;R=14.52;rawP=0.0012;adjP=0.0063
Biosynthesis of unsaturated fatty acids	2	6319 201562	C=21;O=2;E=0.06;R=31.35;rawP=0.0019;adjP=0.0068
Vitamin digestion and absorption	2	80704 335	C=24;O=2;E=0.07;R=27.43;rawP=0.0024;adjP=0.0075
Citrate cycle (TCA cycle)	2	3417 5105	C=30;O=2;E=0.09;R=21.95;rawP=0.0038;adjP=0.0105
Regulation of actin cytoskeleton	4	3680 2255 5155 624	C=213;O=4;E=0.65;R=6.18;rawP=0.0042;adjP=0.0105

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).