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
Focal adhesion	5	3910 3672 2324 3655 3914	C=200;O=5;E=0.21;R=23.44;rawP=2.40e-06;adjP=2.16e-05
ECM-receptor interaction	4	3910 3672 3655 3914	C=85;O=4;E=0.09;R=44.12;rawP=2.15e-06;adjP=2.16e-05
Small cell lung cancer	3	3910 3655 3914	C=85;O=3;E=0.09;R=33.09;rawP=0.0001;adjP=0.0004
Hematopoietic cell lineage	3	3672 3815 3655	C=88;O=3;E=0.09;R=31.96;rawP=0.0001;adjP=0.0004
Amoebiasis	3	3910 23236 3914	C=106;O=3;E=0.11;R=26.53;rawP=0.0002;adjP=0.0007
Toxoplasmosis	3	3910 3655 3914	C=132;O=3;E=0.14;R=21.31;rawP=0.0004;adjP=0.0010
Pathways in cancer	4	3910 3815 3655 3914	C=326;O=4;E=0.35;R=11.50;rawP=0.0004;adjP=0.0010
African trypanosomiasis	2	3910 23236	C=35;O=2;E=0.04;R=53.57;rawP=0.0006;adjP=0.0014
Cytokine-cytokine receptor interaction	3	7293 3815 2324	C=265;O=3;E=0.28;R=10.61;rawP=0.0029;adjP=0.0052
Arrhythmogenic right ventricular cardiomyopathy (ARVC)	2	3672 3655	C=74;O=2;E=0.08;R=25.34;rawP=0.0029;adjP=0.0052

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).