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_TTGTTT_V$FOXO4_01	12	7023 55139 79735 54708 84135 5727 205327 113791 2145 10018 162427 7150	C=2037;O=12;E=2.98;R=4.03;rawP=3.38e-05;adjP=0.0011
hsa_V$FOXO1_02	5	7023 79735 5727 2145 113791	C=238;O=5;E=0.35;R=14.38;rawP=2.66e-05;adjP=0.0011
hsa_V$FOXO3_01	5	7023 80325 79735 5727 2145	C=243;O=5;E=0.35;R=14.09;rawP=2.93e-05;adjP=0.0011
hsa_CACGTG_V$MYC_Q2	9	7023 10940 11196 10826 23598 5727 113791 7150 8501	C=1015;O=9;E=1.48;R=6.07;rawP=1.62e-05;adjP=0.0011
hsa_V$FOXO4_02	5	7023 79735 5727 2145 113791	C=253;O=5;E=0.37;R=13.53;rawP=3.56e-05;adjP=0.0011
hsa_V$YY1_02	5	7023 6059 79735 23598 1665	C=239;O=5;E=0.35;R=14.32;rawP=2.71e-05;adjP=0.0011
hsa_GGGCGGR_V$SP1_Q6	14	7023 4926 1317 80325 22919 3157 79735 23598 5597 5727 3093 55033 7150 8501	C=2891;O=14;E=4.22;R=3.32;rawP=5.89e-05;adjP=0.0015
hsa_TGCGCANK_UNKNOWN	6	7023 11196 5877 285855 3093 162427	C=537;O=6;E=0.78;R=7.65;rawP=0.0001;adjP=0.0023
hsa_RYTGCNNRGNAAC_V$MIF1_01	3	3157 5727 113791	C=84;O=3;E=0.12;R=24.45;rawP=0.0003;adjP=0.0060
hsa_RTAAACA_V$FREAC2_01	7	7023 80325 79735 54708 5727 2145 113791	C=907;O=7;E=1.32;R=5.28;rawP=0.0004;adjP=0.0072

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).