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_GTGACGY_V$E4F1_Q6	9	79609 26118 55425 143684 6430 10693 7181 9988 9600	C=646;O=9;E=1.60;R=5.62;rawP=3.50e-05;adjP=0.0051
hsa_RCGCANGCGY_V$NRF1_Q6	9	60487 256471 50717 11340 1153 201627 126272 7181 5994	C=894;O=9;E=2.22;R=4.06;rawP=0.0004;adjP=0.0292
hsa_TMTCGCGANR_UNKNOWN	4	58487 6430 340351 151613	C=158;O=4;E=0.39;R=10.20;rawP=0.0007;adjP=0.0341
hsa_V$AHRARNT_01	3	51747 26118 58487	C=137;O=3;E=0.34;R=8.83;rawP=0.0049;adjP=0.1201
hsa_SMTTTTGT_UNKNOWN	4	90799 79609 51747 6430	C=399;O=4;E=0.99;R=4.04;rawP=0.0177;adjP=0.1201
hsa_V$HNF1_C	3	79609 55937 51747	C=240;O=3;E=0.60;R=5.04;rawP=0.0221;adjP=0.1201
hsa_V$PPAR_DR1_Q2	3	64770 7181 10747	C=257;O=3;E=0.64;R=4.70;rawP=0.0264;adjP=0.1201
hsa_GCCATNTTG_V$YY1_Q6	4	51747 26118 6430 56339	C=419;O=4;E=1.04;R=3.85;rawP=0.0207;adjP=0.1201
hsa_V$ELK1_01	3	58487 9406 9988	C=266;O=3;E=0.66;R=4.55;rawP=0.0288;adjP=0.1201
hsa_SCGGAAGY_V$ELK1_02	7	90799 4194 129831 58487 9406 22888 151613	C=1176;O=7;E=2.92;R=2.40;rawP=0.0274;adjP=0.1201

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).