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
Pathways in cancer	5	4254 7424 598 7704 5294	C=326;O=5;E=0.62;R=8.07;rawP=0.0004;adjP=0.0033
Jak-STAT signaling pathway	4	598 3977 5294 896	C=155;O=4;E=0.29;R=13.57;rawP=0.0002;adjP=0.0033
Pancreatic cancer	3	7424 598 5294	C=70;O=3;E=0.13;R=22.54;rawP=0.0003;adjP=0.0033
Apoptosis	3	598 5294 843	C=87;O=3;E=0.17;R=18.14;rawP=0.0006;adjP=0.0037
Neurotrophin signaling pathway	3	5294 2309 4214	C=127;O=3;E=0.24;R=12.42;rawP=0.0019;adjP=0.0079
Cytokine-cytokine receptor interaction	4	4254 7424 1524 3977	C=265;O=4;E=0.50;R=7.94;rawP=0.0017;adjP=0.0079
Chemokine signaling pathway	3	1524 5294 2309	C=189;O=3;E=0.36;R=8.35;rawP=0.0057;adjP=0.0119
Non-small cell lung cancer	2	5294 2309	C=54;O=2;E=0.10;R=19.48;rawP=0.0048;adjP=0.0119
Inositol phosphate metabolism	2	5287 5294	C=57;O=2;E=0.11;R=18.45;rawP=0.0053;adjP=0.0119
Endometrial cancer	2	5294 2309	C=52;O=2;E=0.10;R=20.23;rawP=0.0045;adjP=0.0119

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).