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_SCGGAAGY_V$ELK1_02	26	80135 140739 1984 5689 8872 51647 51371 2958 84299 10471 11017 5685 28985 7341 100287932 64422 5701 51264 56993 6742 8520 51126 7334 11222 5686 5718	C=1176;O=26;E=3.19;R=8.15;rawP=1.11e-16;adjP=2.14e-14
hsa_V$ELK1_02	9	1984 51371 2958 5701 51126 8520 7334 11222 5718	C=245;O=9;E=0.66;R=13.54;rawP=2.58e-08;adjP=2.49e-06
hsa_V$NRF2_01	9	140739 1984 8872 51371 2958 56993 7334 11222 5718	C=265;O=9;E=0.72;R=12.52;rawP=5.05e-08;adjP=3.25e-06
hsa_V$GABP_B	8	140739 1984 5689 51371 2958 56993 11222 7334	C=252;O=8;E=0.68;R=11.70;rawP=4.79e-07;adjP=2.31e-05
hsa_GGGCGGR_V$SP1_Q6	23	140739 1984 81873 84661 7508 51287 5861 64928 5685 3336 5691 28985 805 27095 57103 64422 63875 58515 8520 6880 7334 5686 51699	C=2891;O=23;E=7.84;R=2.93;rawP=2.78e-06;adjP=0.0001
hsa_MGGAAGTG_V$GABP_B	11	140739 1984 5689 90427 51371 51647 2958 7341 8520 7334 11222	C=744;O=11;E=2.02;R=5.45;rawP=6.20e-06;adjP=0.0002
hsa_RCGCANGCGY_V$NRF1_Q6	12	1984 84661 257415 64928 5685 3336 27095 3094 57103 63875 10056 6633	C=894;O=12;E=2.43;R=4.95;rawP=6.13e-06;adjP=0.0002
hsa_V$CETS1P54_01	7	140739 1984 28985 5701 56993 11222 5718	C=254;O=7;E=0.69;R=10.16;rawP=6.47e-06;adjP=0.0002
hsa_TGCGCANK_UNKNOWN	9	1984 84661 124801 5685 51118 3094 9296 64422 6633	C=537;O=9;E=1.46;R=6.18;rawP=1.69e-05;adjP=0.0004
hsa_V$USF_C	6	1984 10471 3336 5691 10606 5202	C=275;O=6;E=0.75;R=8.04;rawP=0.0001;adjP=0.0018

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).