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_RTAAACA_V$FREAC2_01	13	8651 1831 8313 7088 11221 27097 51655 51447 10608 687 9464 23371 54541	C=907;O=13;E=1.32;R=9.81;rawP=5.74e-10;adjP=1.49e-07
hsa_CAGGTG_V$E12_Q6	17	2034 1831 10912 10174 51447 22898 64744 6886 3745 83874 5187 51517 8313 7088 83699 80320 7855	C=2450;O=17;E=3.58;R=4.75;rawP=5.22e-08;adjP=6.76e-06
hsa_V$IK3_01	6	1831 6886 4792 83699 80320 9754	C=221;O=6;E=0.32;R=18.59;rawP=9.01e-07;adjP=5.23e-05
hsa_GGGAGGRR_V$MAZ_Q6	15	2034 1831 10912 10174 23371 57458 8651 23704 83874 5187 80139 4792 80320 7855 9754	C=2250;O=15;E=3.29;R=4.56;rawP=6.24e-07;adjP=5.23e-05
hsa_YNGTTNNNATT_UNKNOWN	7	10912 6886 23704 8313 11221 687 60484	C=361;O=7;E=0.53;R=13.27;rawP=1.01e-06;adjP=5.23e-05
hsa_V$P300_01	6	1831 54541 1808 4792 80320 7855	C=248;O=6;E=0.36;R=16.56;rawP=1.76e-06;adjP=7.60e-05
hsa_TTAYRTAA_V$E4BP4_01	6	1831 51447 23371 64744 1808 687	C=256;O=6;E=0.37;R=16.04;rawP=2.11e-06;adjP=7.81e-05
hsa_V$AR_01	5	1831 10608 51447 5187 51517	C=153;O=5;E=0.22;R=22.37;rawP=3.13e-06;adjP=0.0001
hsa_TTGTTT_V$FOXO4_01	13	84913 1831 51655 10174 51447 9464 79652 6886 54541 5187 8313 7088 8609	C=2037;O=13;E=2.98;R=4.37;rawP=6.41e-06;adjP=0.0002
hsa_GGGCGGR_V$SP1_Q6	15	220359 1831 51447 64744 8651 1808 83874 5187 51517 80139 4792 8313 27106 7855 8609	C=2891;O=15;E=4.22;R=3.55;rawP=1.35e-05;adjP=0.0003

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).