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$E2F1_Q4_01	6	140890 23390 905 25862 22823 10521	C=226;O=6;E=0.69;R=8.74;rawP=7.02e-05;adjP=0.0025
hsa_V$E2F1_Q6_01	6	140890 5451 25862 54954 22823 10521	C=235;O=6;E=0.71;R=8.41;rawP=8.70e-05;adjP=0.0025
hsa_TGGAAA_V$NFAT_Q4_01	17	57614 170959 7745 84614 54954 140890 23126 10521 5189 64582 905 8473 4163 64062 118491 114299 25950	C=1871;O=17;E=5.68;R=2.99;rawP=5.48e-05;adjP=0.0025
hsa_V$E2F_03	7	23390 25862 54954 10521 905 55345 22823	C=243;O=7;E=0.74;R=9.48;rawP=1.02e-05;adjP=0.0025
hsa_RCGCANGCGY_V$NRF1_Q6	12	57337 9852 54954 10250 7072 5451 153396 8772 55345 79800 84859 10938	C=894;O=12;E=2.72;R=4.42;rawP=1.95e-05;adjP=0.0025
hsa_V$AR_01	5	57614 23451 140890 153396 27327	C=153;O=5;E=0.46;R=10.76;rawP=0.0001;adjP=0.0025
hsa_V$E2F_Q4_01	6	23390 25862 54954 140890 10521 22823	C=234;O=6;E=0.71;R=8.44;rawP=8.50e-05;adjP=0.0025
hsa_V$CART1_01	6	140890 5451 23126 340481 64376 27327	C=220;O=6;E=0.67;R=8.98;rawP=6.05e-05;adjP=0.0025
hsa_V$E2F_Q6_01	6	23390 25862 54954 140890 10521 22823	C=239;O=6;E=0.73;R=8.26;rawP=9.54e-05;adjP=0.0025
hsa_V$IRF1_Q6	6	84614 140890 7072 10521 27327 10938	C=254;O=6;E=0.77;R=7.78;rawP=0.0001;adjP=0.0025

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).