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$E12_Q6	4	23286 6860 51200 92558	C=260;O=4;E=0.15;R=26.54;rawP=1.48e-05;adjP=0.0006
hsa_V$PBX1_01	3	10406 629 6860	C=250;O=3;E=0.14;R=20.70;rawP=0.0004;adjP=0.0022
hsa_CAGGTG_V$E12_Q6	7	23286 3880 6860 51200 54869 7051 92558	C=2450;O=7;E=1.42;R=4.93;rawP=0.0004;adjP=0.0022
hsa_TGANTCA_V$AP1_C	5	3880 745 51200 7051 92558	C=1104;O=5;E=0.64;R=7.81;rawP=0.0004;adjP=0.0022
hsa_GCANCTGNY_V$MYOD_Q6	5	23286 3880 6860 7051 92558	C=913;O=5;E=0.53;R=9.45;rawP=0.0002;adjP=0.0022
hsa_V$HNF4_Q6	3	6590 57530 629	C=257;O=3;E=0.15;R=20.14;rawP=0.0004;adjP=0.0022
hsa_V$MYOD_Q6	3	23286 6860 7051	C=244;O=3;E=0.14;R=21.21;rawP=0.0004;adjP=0.0022
hsa_V$LMO2COM_01	3	23286 6860 92558	C=260;O=3;E=0.15;R=19.90;rawP=0.0005;adjP=0.0024
hsa_CTTTGA_V$LEF1_Q2	5	57530 629 64116 7051 771	C=1208;O=5;E=0.70;R=7.14;rawP=0.0006;adjP=0.0025
hsa_GGGCGGR_V$SP1_Q6	7	9076 23286 10406 57530 3880 54869 92558	C=2891;O=7;E=1.68;R=4.18;rawP=0.0010;adjP=0.0038

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).