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_GGGAGGRR_V$MAZ_Q6	27	2896 2564 70 6237 7169 116143 7879 79933 9200 6604 58529 79683 2260 3725 8048 283807 1859 11096 9819 5500 2252 22803 10752 79085 6774 23428 10736	C=2250;O=27;E=5.06;R=5.34;rawP=4.23e-13;adjP=1.17e-10
hsa_V$MEF2_01	8	7134 7169 79933 57158 4633 23676 3725 84675	C=142;O=8;E=0.32;R=25.05;rawP=1.28e-09;adjP=1.77e-07
hsa_V$MEF2_02	9	7134 70 7169 79933 4633 23676 3725 8048 283807	C=226;O=9;E=0.51;R=17.71;rawP=2.43e-09;adjP=2.24e-07
hsa_V$SRF_Q6	9	10398 7134 70 7169 57158 1857 283807 84675 10736	C=239;O=9;E=0.54;R=16.74;rawP=3.97e-09;adjP=2.74e-07
hsa_YTATTTTNR_V$MEF2_02	13	7134 70 57158 11311 4633 23676 3570 3725 8048 283807 23428 81847 51375	C=691;O=13;E=1.55;R=8.36;rawP=5.57e-09;adjP=3.07e-07
hsa_V$HMEF2_Q6	7	7134 7169 79933 57158 23676 4633 3725	C=136;O=7;E=0.31;R=22.88;rawP=2.69e-08;adjP=1.24e-06
hsa_GGGCGGR_V$SP1_Q6	23	57669 6237 25847 7169 102 4259 23344 83473 5663 84932 84679 2260 10956 3725 8048 817 11096 9819 22803 79085 23193 23428 79031	C=2891;O=23;E=6.50;R=3.54;rawP=8.16e-08;adjP=3.22e-06
hsa_V$SRF_C	7	10398 7134 70 57158 1857 283807 84675	C=209;O=7;E=0.47;R=14.89;rawP=5.04e-07;adjP=1.70e-05
hsa_V$RSRFC4_Q2	7	7134 70 7169 4259 23676 4633 84675	C=212;O=7;E=0.48;R=14.68;rawP=5.55e-07;adjP=1.70e-05
hsa_V$SRF_Q4	7	10398 7134 70 7169 57158 1857 7168	C=220;O=7;E=0.49;R=14.15;rawP=7.11e-07;adjP=1.96e-05

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).