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_GGGCGGR_V$SP1_Q6	19	6670 81858 58513 92344 23513 8189 57731 64419 6257 79058 55182 883 27236 6853 376497 6045 90678 196 55704	C=2891;O=19;E=5.16;R=3.68;rawP=5.53e-07;adjP=5.81e-05
hsa_SCGGAAGY_V$ELK1_02	11	55334 10616 57827 64419 6257 883 27236 64777 26015 6045 22907	C=1176;O=11;E=2.10;R=5.24;rawP=7.63e-06;adjP=0.0004
hsa_GCCATNTTG_V$YY1_Q6	6	26993 3297 83746 6257 9862 11066	C=419;O=6;E=0.75;R=8.02;rawP=0.0001;adjP=0.0035
hsa_RYTTCCTG_V$ETS2_B	8	6670 54963 83746 55700 57827 6760 116983 55704	C=1074;O=8;E=1.92;R=4.17;rawP=0.0007;adjP=0.0158
hsa_GGAMTNNNNNTCCY_UNKNOWN	3	8189 55182 22907	C=117;O=3;E=0.21;R=14.36;rawP=0.0012;adjP=0.0158
hsa_V$NFKB_Q6_01	4	23368 64419 55182 116983	C=231;O=4;E=0.41;R=9.70;rawP=0.0008;adjP=0.0158
hsa_V$PAX_Q6	4	57731 55182 23030 3624	C=252;O=4;E=0.45;R=8.89;rawP=0.0011;adjP=0.0158
hsa_V$GATA2_01	3	6670 8189 6853	C=104;O=3;E=0.19;R=16.16;rawP=0.0009;adjP=0.0158
hsa_TATAAA_V$TATA_01	7	26993 54963 92344 8189 27236 3624 55704	C=1276;O=7;E=2.28;R=3.07;rawP=0.0078;adjP=0.0564
hsa_TGTTTGY_V$HNF3_Q6	5	8408 6257 883 22907 3624	C=733;O=5;E=1.31;R=3.82;rawP=0.0101;adjP=0.0564

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).