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$YY1_Q6	6	2033 1778 140775 9923 57533 23140	C=238;O=6;E=0.30;R=19.77;rawP=6.13e-07;adjP=4.03e-05
hsa_RRAGTTGT_UNKNOWN	6	8455 8085 140775 9826 57492 23085	C=248;O=6;E=0.32;R=18.97;rawP=7.79e-07;adjP=4.03e-05
hsa_GCCATNTTG_V$YY1_Q6	7	2033 1778 80028 140775 9923 57533 6613	C=419;O=7;E=0.53;R=13.10;rawP=1.06e-06;adjP=4.03e-05
hsa_V$YY1_02	5	2033 140775 9923 57533 23140	C=239;O=5;E=0.30;R=16.40;rawP=1.39e-05;adjP=0.0004
hsa_V$CREBP1_01	4	2033 79026 57492 5939	C=175;O=4;E=0.22;R=17.92;rawP=7.60e-05;adjP=0.0017
hsa_V$ARNT_02	4	3482 9923 23352 23503	C=244;O=4;E=0.31;R=12.85;rawP=0.0003;adjP=0.0049
hsa_V$NFMUE1_Q6	4	2033 1778 140775 23140	C=239;O=4;E=0.30;R=13.12;rawP=0.0003;adjP=0.0049
hsa_AACTTT_UNKNOWN	9	1387 3482 8085 9826 6613 22982 374655 57492 23352	C=1859;O=9;E=2.37;R=3.80;rawP=0.0005;adjP=0.0057
hsa_AAGWWRNYGGC_UNKNOWN	3	2033 23140 9578	C=117;O=3;E=0.15;R=20.11;rawP=0.0005;adjP=0.0057
hsa_V$IK2_01	4	79026 775 23085 5939	C=265;O=4;E=0.34;R=11.84;rawP=0.0004;adjP=0.0057

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).