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_RYTTCCTG_V$ETS2_B	11	5871 762 6939 116986 10266 2495 22899 80177 11343 79057 83878	C=1074;O=11;E=1.47;R=7.49;rawP=2.04e-07;adjP=1.26e-05
hsa_CAGGTG_V$E12_Q6	16	65012 5871 3061 6578 1028 954 863 1302 6939 30820 358 9254 3741 116986 256949 57556	C=2450;O=16;E=3.35;R=4.77;rawP=1.19e-07;adjP=1.26e-05
hsa_GGGAGGRR_V$MAZ_Q6	12	6578 3061 863 1302 6939 358 116159 10266 2495 116986 256949 79057	C=2250;O=12;E=3.08;R=3.90;rawP=4.48e-05;adjP=0.0019
hsa_CTGCAGY_UNKNOWN	7	65012 6578 863 1302 6939 30820 57556	C=756;O=7;E=1.03;R=6.77;rawP=7.65e-05;adjP=0.0024
hsa_V$VDR_Q3	4	65012 6939 22899 116986	C=218;O=4;E=0.30;R=13.41;rawP=0.0002;adjP=0.0050
hsa_TATAAA_V$TATA_01	8	6578 1636 1302 762 358 116159 80177 8718	C=1276;O=8;E=1.75;R=4.58;rawP=0.0003;adjP=0.0062
hsa_V$ETS1_B	4	3707 5871 863 116986	C=255;O=4;E=0.35;R=11.47;rawP=0.0004;adjP=0.0071
hsa_RGAGGAARY_V$PU1_Q6	5	5871 863 762 22899 116986	C=495;O=5;E=0.68;R=7.38;rawP=0.0006;adjP=0.0093
hsa_CTTTGT_V$LEF1_Q2	9	1028 6939 358 65078 55901 57556 140706 8819 116835	C=1939;O=9;E=2.65;R=3.39;rawP=0.0012;adjP=0.0165
hsa_V$MMEF2_Q6	3	6578 1302 22899	C=268;O=3;E=0.37;R=8.18;rawP=0.0060;adjP=0.0349

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).