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$GABP_B	5	55654 9761 10067 25921 79586	C=252;O=5;E=0.41;R=12.22;rawP=5.81e-05;adjP=0.0053
hsa_CAGCTG_V$AP4_Q5	9	3270 5066 83692 23221 5596 1509 3801 66005 79586	C=1502;O=9;E=2.44;R=3.69;rawP=0.0007;adjP=0.0184
hsa_V$NFY_Q6	4	9761 25921 56910 10956	C=258;O=4;E=0.42;R=9.55;rawP=0.0008;adjP=0.0184
hsa_SCGGAAGY_V$ELK1_02	8	55654 55164 9761 51604 25921 221785 66005 79586	C=1176;O=8;E=1.91;R=4.19;rawP=0.0006;adjP=0.0184
hsa_TCANNTGAY_V$SREBP1_01	5	537 5476 5660 219902 1509	C=466;O=5;E=0.76;R=6.61;rawP=0.0010;adjP=0.0184
hsa_RGAGGAARY_V$PU1_Q6	5	23646 5476 56926 3784 3801	C=495;O=5;E=0.80;R=6.22;rawP=0.0013;adjP=0.0199
hsa_TGAYRTCA_V$ATF3_Q6	5	7126 23270 537 3939 79586	C=531;O=5;E=0.86;R=5.80;rawP=0.0017;adjP=0.0223
hsa_V$CREB_01	3	7126 3939 79586	C=261;O=3;E=0.42;R=7.08;rawP=0.0089;adjP=0.0273
hsa_V$AP2GAMMA_01	3	333 9993 5476	C=246;O=3;E=0.40;R=7.51;rawP=0.0076;adjP=0.0273
hsa_V$CREB_Q2	3	23235 3939 79586	C=262;O=3;E=0.43;R=7.05;rawP=0.0090;adjP=0.0273

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).