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
Calcium signaling pathway	5	5023 154 3360 2066 3357	C=177;O=5;E=0.39;R=12.82;rawP=4.73e-05;adjP=0.0004
Neuroactive ligand-receptor interaction	6	5023 1145 2901 154 3360 3357	C=272;O=6;E=0.60;R=10.01;rawP=3.24e-05;adjP=0.0004
Axon guidance	4	9423 219699 2043 5362	C=129;O=4;E=0.28;R=14.08;rawP=0.0002;adjP=0.0011
Endocytosis	4	154 84440 2066 92421	C=201;O=4;E=0.44;R=9.03;rawP=0.0010;adjP=0.0025
Gap junction	3	2982 2983 3357	C=90;O=3;E=0.20;R=15.13;rawP=0.0011;adjP=0.0025
ErbB signaling pathway	3	3084 399694 2066	C=87;O=3;E=0.19;R=15.65;rawP=0.0010;adjP=0.0025
Salivary secretion	3	154 2982 2983	C=89;O=3;E=0.20;R=15.30;rawP=0.0010;adjP=0.0025
Long-term depression	2	2982 2983	C=70;O=2;E=0.15;R=12.97;rawP=0.0105;adjP=0.0210
Small cell lung cancer	2	10319 6258	C=85;O=2;E=0.19;R=10.68;rawP=0.0152;adjP=0.0243
Protein digestion and absorption	2	1803 117247	C=81;O=2;E=0.18;R=11.21;rawP=0.0139;adjP=0.0243

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).