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_GGGCGGR_V$SP1_Q6	20	7124 7122 54567 54910 4739 4242 11186 255877 54922 55917 8692 84002 90952 9314 10044 2523 6446 7490 64321 10633	C=2891;O=20;E=3.75;R=5.33;rawP=2.36e-10;adjP=3.61e-08
hsa_RYTTCCTG_V$ETS2_B	11	7122 54567 54910 4739 11186 8692 90952 81575 64651 8751 6446	C=1074;O=11;E=1.39;R=7.89;rawP=1.16e-07;adjP=8.87e-06
hsa_RGAGGAARY_V$PU1_Q6	8	7124 79812 54922 3384 23584 10044 8751 55303	C=495;O=8;E=0.64;R=12.45;rawP=2.50e-07;adjP=1.28e-05
hsa_CAGGTG_V$E12_Q6	15	7122 54567 54910 4242 4881 1901 8692 90952 28514 10044 9314 64651 7490 64321 9771	C=2450;O=15;E=3.18;R=4.72;rawP=3.51e-07;adjP=1.34e-05
hsa_V$ETS1_B	6	54910 8692 81575 64651 8751 55303	C=255;O=6;E=0.33;R=18.12;rawP=1.02e-06;adjP=3.12e-05
hsa_TGTTTGY_V$HNF3_Q6	8	54910 79812 23584 90952 8751 6446 64321 4846	C=733;O=8;E=0.95;R=8.41;rawP=4.64e-06;adjP=0.0001
hsa_GGGAGGRR_V$MAZ_Q6	13	54567 54910 6376 54861 54922 1901 23584 10044 64651 8751 7490 64321 10633	C=2250;O=13;E=2.92;R=4.45;rawP=4.70e-06;adjP=0.0001
hsa_V$PU1_Q6	5	6376 3384 90952 8751 55303	C=230;O=5;E=0.30;R=16.74;rawP=1.26e-05;adjP=0.0002
hsa_V$SP1_Q4_01	5	10365 255877 55917 8692 10044	C=252;O=5;E=0.33;R=15.28;rawP=1.96e-05;adjP=0.0003
hsa_V$SP1_Q6	5	10365 255877 55917 8692 10044	C=251;O=5;E=0.33;R=15.34;rawP=1.92e-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).