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: gene_symbol, 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_TATAAA_V$TATA_01	20	6354 3976 4878 6401 6279 5179 3586 1672 7042 5996 8685 1440 64102 4693 51050 3557 4624 6280 11082 5473	C=1276;O=20;E=1.86;R=10.73;rawP=9.20e-16;adjP=1.76e-13
hsa_V$GATA4_Q3	8	3976 6372 3586 5996 6374 4693 3200 51050	C=246;O=8;E=0.36;R=22.26;rawP=2.95e-09;adjP=2.82e-07
hsa_V$TATA_01	7	6354 3976 4878 10912 3586 5996 4693	C=255;O=7;E=0.37;R=18.79;rawP=9.71e-08;adjP=6.18e-06
hsa_V$GATA1_05	7	6372 7042 5996 6374 4693 3200 51050	C=280;O=7;E=0.41;R=17.11;rawP=1.83e-07;adjP=8.74e-06
hsa_V$MEF2_Q6_01	6	3976 9956 3586 4693 51050 4624	C=241;O=6;E=0.35;R=17.04;rawP=1.49e-06;adjP=5.69e-05
hsa_V$AP1_Q6_01	6	827 10912 5794 4693 51050 3557	C=262;O=6;E=0.38;R=15.68;rawP=2.41e-06;adjP=6.58e-05
hsa_V$AP1_Q2	6	9956 5794 3586 4693 3200 3557	C=261;O=6;E=0.38;R=15.74;rawP=2.36e-06;adjP=6.58e-05
hsa_V$AP1_C	6	9956 827 10912 3586 1440 4693	C=270;O=6;E=0.39;R=15.21;rawP=2.87e-06;adjP=6.85e-05
hsa_V$SRF_Q5_01	5	4878 10912 6372 6374 64102	C=218;O=5;E=0.32;R=15.70;rawP=1.75e-05;adjP=0.0004
hsa_V$CEBPDELTA_Q6	5	1672 3200 51050 3557 6280	C=238;O=5;E=0.35;R=14.38;rawP=2.66e-05;adjP=0.0005

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).