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_V$ISRE_01	15	23586 64108 3433 79132 10154 94240 11274 10561 10379 684 3437 55601 64135 9636 54739	C=246;O=15;E=0.37;R=40.46;rawP=2.30e-20;adjP=1.27e-18
hsa_V$IRF_Q6	14	64108 3433 64761 9246 79132 10154 3965 10561 10379 684 3430 103 55601 9636	C=240;O=14;E=0.36;R=38.70;rawP=8.83e-19;adjP=2.43e-17
hsa_V$IRF7_01	13	23586 3433 64761 10154 94240 55337 11274 684 103 8638 55601 54739 9636	C=250;O=13;E=0.38;R=34.50;rawP=7.66e-17;adjP=1.31e-15
hsa_STTTCRNTTT_V$IRF_Q6	12	23586 3433 79132 10154 94240 55337 11274 10561 684 3437 54739 9636	C=186;O=12;E=0.28;R=42.81;rawP=9.54e-17;adjP=1.31e-15
hsa_V$ICSBP_Q6	9	64761 11274 10561 684 3430 103 3437 64135 9636	C=246;O=9;E=0.37;R=24.27;rawP=1.34e-10;adjP=1.47e-09
hsa_V$IRF1_01	7	23586 10154 11274 10379 684 9636 54739	C=247;O=7;E=0.37;R=18.80;rawP=9.74e-08;adjP=8.93e-07
hsa_V$IRF2_01	5	23586 10154 11274 684 54739	C=125;O=5;E=0.19;R=26.54;rawP=1.36e-06;adjP=1.07e-05
hsa_V$STAT5A_01	3	5325 83988 10379	C=243;O=3;E=0.37;R=8.19;rawP=0.0060;adjP=0.0367
hsa_V$STAT5B_01	3	5325 83988 10379	C=239;O=3;E=0.36;R=8.33;rawP=0.0057;adjP=0.0367
hsa_V$HSF1_01	3	10154 51056 93487	C=265;O=3;E=0.40;R=7.51;rawP=0.0076;adjP=0.0418

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).