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
Spliceosome	6	9129 6625 26121 8175 56949 7919	C=127;O=6;E=0.67;R=9.02;rawP=5.91e-05;adjP=0.0014
Protein processing in endoplasmic reticulum	6	10484 5609 1388 11253 7095 25956	C=165;O=6;E=0.86;R=6.94;rawP=0.0002;adjP=0.0024
Glycosylphosphatidylinositol(GPI)-anchor biosynthesis	3	80235 84720 54872	C=25;O=3;E=0.13;R=22.90;rawP=0.0003;adjP=0.0024
mRNA surveillance pathway	4	29894 79869 65110 7919	C=83;O=4;E=0.43;R=9.20;rawP=0.0010;adjP=0.0060
Metabolic pathways	13	2744 2589 55512 197258 2592 11253 51380 1120 84720 6120 6309 8398 9563	C=1130;O=13;E=5.92;R=2.20;rawP=0.0070;adjP=0.0264
RNA degradation	3	23644 5394 9924	C=71;O=3;E=0.37;R=8.06;rawP=0.0062;adjP=0.0264
Pentose phosphate pathway	2	6120 9563	C=27;O=2;E=0.14;R=14.14;rawP=0.0088;adjP=0.0264
Glycerophospholipid metabolism	3	1120 6901 8398	C=80;O=3;E=0.42;R=7.16;rawP=0.0087;adjP=0.0264
MAPK signaling pathway	5	55970 9344 5609 10454 8398	C=268;O=5;E=1.40;R=3.56;rawP=0.0138;adjP=0.0368
Basal transcription factors	2	10629 6908	C=37;O=2;E=0.19;R=10.31;rawP=0.0161;adjP=0.0386

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).