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
Axon guidance	4	2045 9037 2043 5362	C=129;O=4;E=0.31;R=12.98;rawP=0.0003;adjP=0.0069
Phosphatidylinositol signaling system	3	3631 1608 9162	C=78;O=3;E=0.19;R=16.10;rawP=0.0009;adjP=0.0075
ErbB signaling pathway	3	2885 3084 399694	C=87;O=3;E=0.21;R=14.44;rawP=0.0012;adjP=0.0075
Gap junction	3	2885 2983 153	C=90;O=3;E=0.21;R=13.96;rawP=0.0013;adjP=0.0075
Neuroactive ligand-receptor interaction	4	5023 1145 3360 153	C=272;O=4;E=0.65;R=6.16;rawP=0.0042;adjP=0.0193
Glycerolipid metabolism	2	1608 9162	C=50;O=2;E=0.12;R=16.75;rawP=0.0064;adjP=0.0245
Glioma	2	2885 399694	C=65;O=2;E=0.16;R=12.88;rawP=0.0107;adjP=0.0246
Calcium signaling pathway	3	5023 3360 153	C=177;O=3;E=0.42;R=7.10;rawP=0.0089;adjP=0.0246
Non-small cell lung cancer	2	2885 6258	C=54;O=2;E=0.13;R=15.51;rawP=0.0075;adjP=0.0246
Chemokine signaling pathway	3	2885 94235 399694	C=189;O=3;E=0.45;R=6.65;rawP=0.0106;adjP=0.0246

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).