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_AACTTT_UNKNOWN	28	7301 5207 51678 2255 130399 286753 2239 794 1271 163782 5138 28232 4257 5792 2911 84152 9796 84570 5122 10857 8739 6863 84253 130497 2045 5346 2167 4188	C=1859;O=28;E=5.60;R=5.00;rawP=1.49e-12;adjP=4.75e-10
hsa_GGGAGGRR_V$MAZ_Q6	25	6423 5468 206338 2239 1271 6319 1846 5138 26227 2911 5950 5792 9796 84570 1840 9547 8739 56301 3991 6863 1608 2045 55908 5346 4188	C=2250;O=25;E=6.78;R=3.69;rawP=1.42e-08;adjP=2.26e-06
hsa_TGANTCA_V$AP1_C	15	7803 5153 2255 10205 794 5209 63924 57716 5950 9547 6863 5648 624 2167 4188	C=1104;O=15;E=3.33;R=4.51;rawP=1.32e-06;adjP=0.0001
hsa_CTTTGA_V$LEF1_Q2	15	51678 2255 6423 5468 2239 1271 338442 4828 7018 116236 9796 84152 5122 2045 2167	C=1208;O=15;E=3.64;R=4.12;rawP=3.94e-06;adjP=0.0003
hsa_V$CEBPB_01	7	718 5153 25966 84570 85329 2045 2167	C=258;O=7;E=0.78;R=9.00;rawP=1.43e-05;adjP=0.0005
hsa_TGTTTGY_V$HNF3_Q6	11	7301 10205 206338 338442 7018 4257 57716 84152 9340 2045 5648	C=733;O=11;E=2.21;R=4.98;rawP=1.48e-05;adjP=0.0005
hsa_CAGGTG_V$E12_Q6	21	7301 23344 7135 1846 5138 28232 2819 2911 2885 9340 9796 5091 23254 5105 84649 9547 339983 6863 130497 1608 5648	C=2450;O=21;E=7.39;R=2.84;rawP=1.41e-05;adjP=0.0005
hsa_V$PAX2_02	7	51678 5468 5209 1846 26227 28232 130497	C=255;O=7;E=0.77;R=9.11;rawP=1.32e-05;adjP=0.0005
hsa_V$PPAR_DR1_Q2	7	2819 9796 9547 666 55908 5346 6576	C=257;O=7;E=0.77;R=9.04;rawP=1.39e-05;adjP=0.0005
hsa_V$HNF4_01	7	5207 2255 5468 1271 2819 5105 6576	C=264;O=7;E=0.80;R=8.80;rawP=1.66e-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).