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$LEF1_Q2	13	3910 2004 2791 80243 51088 4651 1003 55765 3815 359845 220441 3914 79630	C=1939;O=13;E=2.07;R=6.29;rawP=7.46e-08;adjP=9.47e-06
hsa_V$NKX61_01	6	51088 6925 4651 6659 23236 220441	C=236;O=6;E=0.25;R=23.84;rawP=1.97e-07;adjP=1.25e-05
hsa_AACTTT_UNKNOWN	11	3910 2004 6925 125336 1003 6659 3672 3815 23236 51705 220441	C=1859;O=11;E=1.98;R=5.55;rawP=3.06e-06;adjP=0.0001
hsa_TGCCAAR_V$NF1_Q6	7	6925 2324 6659 3815 23236 134266 51705	C=709;O=7;E=0.76;R=9.26;rawP=9.66e-06;adjP=0.0002
hsa_V$NFAT_Q6	5	2004 80243 79742 2324 51294	C=245;O=5;E=0.26;R=19.13;rawP=6.44e-06;adjP=0.0002
hsa_RYTTCCTG_V$ETS2_B	8	2004 2791 201232 4651 1003 3672 1786 220441	C=1074;O=8;E=1.15;R=6.98;rawP=1.62e-05;adjP=0.0003
hsa_TGGAAA_V$NFAT_Q4_01	10	2004 79742 6925 1003 81615 140766 51294 23236 220441 3914	C=1871;O=10;E=2.00;R=5.01;rawP=2.25e-05;adjP=0.0004
hsa_V$P53_02	4	2004 80243 6659 23236	C=248;O=4;E=0.26;R=15.12;rawP=0.0001;adjP=0.0016
hsa_CAGGTG_V$E12_Q6	10	3910 2004 79742 3655 6659 731220 3815 23236 134266 220441	C=2450;O=10;E=2.61;R=3.83;rawP=0.0002;adjP=0.0023
hsa_V$SOX5_01	4	80243 6925 23236 51705	C=261;O=4;E=0.28;R=14.37;rawP=0.0002;adjP=0.0023

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).