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_AACTTT_UNKNOWN	13	710 1356 3078 2719 558 55022 10439 10577 10468 116535 5106 4857 132884	C=1859;O=13;E=2.67;R=4.86;rawP=1.96e-06;adjP=0.0003
hsa_TGGAAA_V$NFAT_Q4_01	12	148741 8936 51063 51279 55022 7512 716 116535 10468 5156 85456 5549	C=1871;O=12;E=2.69;R=4.46;rawP=1.23e-05;adjP=0.0010
hsa_CAGGTG_V$E12_Q6	13	2202 23099 4245 558 2059 7439 22801 116535 10468 5156 9719 5549 10736	C=2450;O=13;E=3.52;R=3.69;rawP=3.76e-05;adjP=0.0012
hsa_V$IPF1_Q4	5	2202 285195 148398 10439 9719	C=256;O=5;E=0.37;R=13.59;rawP=3.48e-05;adjP=0.0012
hsa_RTAAACA_V$FREAC2_01	8	2202 285386 558 5740 6778 148398 10468 116535	C=907;O=8;E=1.30;R=6.14;rawP=4.60e-05;adjP=0.0012
hsa_TTGTTT_V$FOXO4_01	12	2202 9019 8936 2719 6778 716 10439 116535 10468 5156 4857 117581	C=2037;O=12;E=2.93;R=4.10;rawP=2.86e-05;adjP=0.0012
hsa_V$MEIS1BHOXA9_01	4	54913 148398 10439 4857	C=144;O=4;E=0.21;R=19.32;rawP=5.72e-05;adjP=0.0013
hsa_AAAYRNCTG_UNKNOWN	5	4245 10468 8697 5156 5549	C=368;O=5;E=0.53;R=9.45;rawP=0.0002;adjP=0.0035
hsa_TGACAGNY_V$MEIS1_01	7	285195 148741 2719 148398 9719 85456 5156	C=819;O=7;E=1.18;R=5.95;rawP=0.0002;adjP=0.0035
hsa_V$TGIF_01	4	148741 23099 85456 5156	C=243;O=4;E=0.35;R=11.45;rawP=0.0004;adjP=0.0041

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).