TRANSCRIPTION TARGET GENE SET ENRICHMENT 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 transcription factor targets (TFT), number of Entrez IDs in your user data set for the TFT, the corresponding Entrez IDs, and the statistics for the enriched TF.
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 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.

TFT	#Gene	EntrezGene	Statistics
hsa_AACTTT_UNKNOWN	11	79698 1124 6456 4693 8835 144165 22871 11174 1297 5099 22929	C=1859;O=11;E=1.34;R=8.23;rawP=3.53e-08;adjP=3.39e-06
hsa_CTTTAAR_UNKNOWN	8	4693 8835 26033 11174 6422 1297 253558 22929	C=960;O=8;E=0.69;R=11.59;rawP=2.93e-07;adjP=1.41e-05
hsa_TTANTCA_UNKNOWN	7	1124 4693 144165 26033 22871 11174 5099	C=937;O=7;E=0.67;R=10.39;rawP=3.73e-06;adjP=0.0001
hsa_V$POU6F1_01	4	79698 4693 5099 22929	C=237;O=4;E=0.17;R=23.48;rawP=2.49e-05;adjP=0.0004
hsa_V$HNF1_01	4	144165 22871 11174 1297	C=244;O=4;E=0.18;R=22.81;rawP=2.79e-05;adjP=0.0004
hsa_CTTTGA_V$LEF1_Q2	7	79698 7483 1124 4693 8835 8817 5099	C=1208;O=7;E=0.87;R=8.06;rawP=1.94e-05;adjP=0.0004
hsa_V$STAT5B_01	3	1124 8835 11174	C=239;O=3;E=0.17;R=17.46;rawP=0.0007;adjP=0.0045
hsa_V$CIZ_01	3	4693 144165 5099	C=239;O=3;E=0.17;R=17.46;rawP=0.0007;adjP=0.0045
hsa_V$ERR1_Q2	3	79698 256471 5099	C=257;O=3;E=0.18;R=16.24;rawP=0.0008;adjP=0.0045
hsa_V$TCF4_Q5	3	79698 1124 5099	C=240;O=3;E=0.17;R=17.39;rawP=0.0007;adjP=0.0045

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).