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_V$BACH2_01	12	8178 81565 9289 4616 29950 4327 5292 1026 5997 80271 27314 10221	C=268;O=12;E=0.65;R=18.57;rawP=2.70e-12;adjP=9.37e-10
hsa_AACTTT_UNKNOWN	21	9945 2697 3759 133522 7079 5629 467 4885 1316 8809 10221 51704 6675 79842 4609 604 8013 79845 132864 27314 84978	C=1859;O=21;E=4.48;R=4.68;rawP=3.11e-09;adjP=4.18e-07
hsa_GGGCGGR_V$SP1_Q6	26	9945 81565 4502 10435 124044 3759 22936 133522 29950 467 1026 23580 3727 10221 1051 9048 81671 79842 4609 604 8013 9929 5292 6603 80271 84978	C=2891;O=26;E=6.97;R=3.73;rawP=3.61e-09;adjP=4.18e-07
hsa_TGANTCA_V$AP1_C	16	2697 6556 9289 6303 29950 4327 1026 5997 10221 8178 4616 54407 5292 80271 27314 84978	C=1104;O=16;E=2.66;R=6.01;rawP=9.85e-09;adjP=8.54e-07
hsa_V$BACH1_01	9	9289 29950 1026 5997 10221 8178 5292 80271 27314	C=258;O=9;E=0.62;R=14.47;rawP=1.43e-08;adjP=9.92e-07
hsa_GTGACGY_V$E4F1_Q6	12	81565 124044 22936 29889 1026 3727 10221 9048 81671 54407 8013 9929	C=646;O=12;E=1.56;R=7.70;rawP=5.69e-08;adjP=3.29e-06
hsa_CAGGTG_V$E12_Q6	22	3759 133522 91 9589 5629 4885 79651 10221 8178 51704 9048 4609 84879 4616 604 8013 9929 6603 54206 5345 79845 84978	C=2450;O=22;E=5.91;R=3.72;rawP=7.57e-08;adjP=3.75e-06
hsa_CTTTGT_V$LEF1_Q2	19	9945 2697 7832 91 5629 123879 90362 23580 3727 10221 51704 604 54407 8013 9929 5292 79845 27314 84978	C=1939;O=19;E=4.68;R=4.06;rawP=1.80e-07;adjP=7.81e-06
hsa_TTGTTT_V$FOXO4_01	19	22936 7832 91 6303 5629 123879 4885 29889 2355 8809 10221 604 54407 8013 5292 79845 27314 84978 8445	C=2037;O=19;E=4.91;R=3.87;rawP=3.82e-07;adjP=1.47e-05
hsa_CTTTGA_V$LEF1_Q2	14	9945 4502 3759 91 122953 5629 8809 6675 604 8013 9929 5292 9173 27314	C=1208;O=14;E=2.91;R=4.81;rawP=1.30e-06;adjP=4.51e-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).