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_CTTTGT_V$LEF1_Q2	7	7552 26033 1946 7483 1297 143425 8321	C=1939;O=7;E=1.62;R=4.32;rawP=0.0010;adjP=0.0150
hsa_V$E4BP4_01	3	144165 7552 6456	C=220;O=3;E=0.18;R=16.34;rawP=0.0008;adjP=0.0150
hsa_AACTTT_UNKNOWN	7	144165 1154 1946 6456 1297 8835 143425	C=1859;O=7;E=1.55;R=4.51;rawP=0.0008;adjP=0.0150
hsa_CTTTGA_V$LEF1_Q2	6	1154 1946 7483 8637 8835 8817	C=1208;O=6;E=1.01;R=5.95;rawP=0.0005;adjP=0.0150
hsa_TGGAAA_V$NFAT_Q4_01	7	7552 26033 1154 29969 342035 9368 8835	C=1871;O=7;E=1.56;R=4.48;rawP=0.0008;adjP=0.0150
hsa_V$ETS2_B	3	7483 23760 9368	C=272;O=3;E=0.23;R=13.21;rawP=0.0015;adjP=0.0161
hsa_V$AP4_Q5	3	144165 26033 7483	C=270;O=3;E=0.23;R=13.31;rawP=0.0015;adjP=0.0161
hsa_GGGCGGR_V$SP1_Q6	8	9149 1154 9368 8835 144165 26033 1946 29969	C=2891;O=8;E=2.41;R=3.32;rawP=0.0022;adjP=0.0206
hsa_GATTGGY_V$NFY_Q6_01	5	7552 1154 9368 1946 6422	C=1141;O=5;E=0.95;R=5.25;rawP=0.0025;adjP=0.0208
hsa_TGCCAAR_V$NF1_Q6	4	7552 9368 143425 8637	C=709;O=4;E=0.59;R=6.76;rawP=0.0028;adjP=0.0210

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).