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$AR_01	7	28999 5309 23428 3977 117283 7504 11170	C=153;O=7;E=0.29;R=24.06;rawP=1.87e-08;adjP=5.46e-06
hsa_GGGCGGR_V$SP1_Q6	21	27253 84890 7903 3090 598 54957 2309 9064 79960 3087 10769 10766 9519 28999 4254 2289 4082 5309 23294 23428 64344	C=2891;O=21;E=5.50;R=3.82;rawP=7.14e-08;adjP=1.04e-05
hsa_CAGCTG_V$AP4_Q5	15	54510 7704 55273 6867 84890 7903 117283 10458 3087 5150 9181 4613 5309 5294 23348	C=1502;O=15;E=2.86;R=5.25;rawP=1.40e-07;adjP=1.36e-05
hsa_V$GATA1_02	7	3090 598 3087 2313 221395 229 3977	C=241;O=7;E=0.46;R=15.28;rawP=4.15e-07;adjP=3.03e-05
hsa_CTTTGT_V$LEF1_Q2	16	54510 84141 7704 27253 598 2309 473 79960 23263 10769 9519 5150 79786 9181 2289 4082	C=1939;O=16;E=3.69;R=4.34;rawP=6.56e-07;adjP=3.83e-05
hsa_CAGGTG_V$E12_Q6	17	7704 6867 27253 4005 3090 598 117283 79960 9242 9519 28999 2289 5294 23294 23428 7743 64344	C=2450;O=17;E=4.66;R=3.65;rawP=2.98e-06;adjP=0.0001
hsa_AACTTT_UNKNOWN	14	7851 54510 7704 2309 166379 79960 10766 79786 5150 4254 9181 2313 5309 23294	C=1859;O=14;E=3.53;R=3.96;rawP=1.02e-05;adjP=0.0002
hsa_V$STAT6_01	6	171392 6867 27253 79960 4254 4082	C=263;O=6;E=0.50;R=12.00;rawP=1.15e-05;adjP=0.0002
hsa_V$AP2_Q3	6	3090 9064 2309 79960 2313 4613	C=249;O=6;E=0.47;R=12.67;rawP=8.46e-06;adjP=0.0002
hsa_TGACAGNY_V$MEIS1_01	10	7704 6867 27253 3090 4005 2309 117283 11170 9519 4254	C=819;O=10;E=1.56;R=6.42;rawP=3.60e-06;adjP=0.0002

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).