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_CAGCTG_V$AP4_Q5	16	443 2824 5349 55026 6663 253559 3223 6657 347730 84189 8645 2899 5354 54413 2065 3897	C=1502;O=16;E=1.60;R=9.99;rawP=1.60e-12;adjP=4.02e-10
hsa_CTTTGT_V$LEF1_Q2	17	84631 5126 2824 55026 6663 81849 3223 6657 347730 152404 130574 7020 2899 5354 2065 55220 3897	C=1939;O=17;E=2.07;R=8.22;rawP=5.90e-12;adjP=7.40e-10
hsa_TTGTTT_V$FOXO4_01	16	443 84631 5126 253559 81849 186 3223 3547 6657 347730 4359 84189 7020 2899 5354 2065	C=2037;O=16;E=2.17;R=7.36;rawP=1.49e-10;adjP=1.25e-08
hsa_YNGTTNNNATT_UNKNOWN	8	443 6663 186 81849 3223 6657 9369 8645	C=361;O=8;E=0.39;R=20.78;rawP=4.41e-09;adjP=2.77e-07
hsa_CTGCAGY_UNKNOWN	9	55026 6663 253559 9378 6657 3547 9369 347730 54413	C=756;O=9;E=0.81;R=11.16;rawP=9.20e-08;adjP=4.62e-06
hsa_V$EVI1_04	6	3223 9369 347730 84189 2899 84623	C=236;O=6;E=0.25;R=23.84;rawP=1.97e-07;adjP=7.60e-06
hsa_V$HFH1_01	6	443 3223 6657 84189 2899 54413	C=239;O=6;E=0.25;R=23.54;rawP=2.12e-07;adjP=7.60e-06
hsa_V$GATA_C	6	6005 84631 6663 3223 9369 2899	C=263;O=6;E=0.28;R=21.39;rawP=3.71e-07;adjP=1.03e-05
hsa_V$HEB_Q6	6	55026 81849 2899 2065 55220 3897	C=263;O=6;E=0.28;R=21.39;rawP=3.71e-07;adjP=1.03e-05
hsa_CTTTAAR_UNKNOWN	9	5349 2676 79677 130574 84189 2899 5354 54413 84623	C=960;O=9;E=1.02;R=8.79;rawP=6.80e-07;adjP=1.71e-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).