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
Complement and coagulation cascades	6	716 715 710 3075 730 7035	C=69;O=6;E=0.10;R=60.49;rawP=7.69e-10;adjP=7.69e-09
Systemic lupus erythematosus	4	716 715 730 85236	C=136;O=4;E=0.20;R=20.46;rawP=4.58e-05;adjP=0.0002
Staphylococcus aureus infection	3	716 715 3075	C=55;O=3;E=0.08;R=37.94;rawP=7.04e-05;adjP=0.0002
Regulation of actin cytoskeleton	3	22801 8936 5156	C=213;O=3;E=0.31;R=9.80;rawP=0.0036;adjP=0.0090
Lysosome	2	10577 2629	C=121;O=2;E=0.17;R=11.50;rawP=0.0132;adjP=0.0264
Insulin signaling pathway	2	5836 5106	C=138;O=2;E=0.20;R=10.08;rawP=0.0170;adjP=0.0283
Metabolic pathways	5	5106 4245 5740 316 2629	C=1130;O=5;E=1.62;R=3.08;rawP=0.0232;adjP=0.0290
Jak-STAT signaling pathway	2	6776 6778	C=155;O=2;E=0.22;R=8.98;rawP=0.0211;adjP=0.0290
Focal adhesion	2	22801 5156	C=200;O=2;E=0.29;R=6.96;rawP=0.0337;adjP=0.0374
Pathways in cancer	2	6776 5156	C=326;O=2;E=0.47;R=4.27;rawP=0.0801;adjP=0.0801

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).