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_TGGAAA_V$NFAT_Q4_01	17	161742 11043 8893 8573 523 51496 10203 64750 3029 27436 148867 10000 80264 2776 490 79691 29803	C=1871;O=17;E=3.43;R=4.96;rawP=3.93e-08;adjP=7.70e-06
hsa_V$HLF_01	7	161742 8573 158219 10203 1184 27436 26145	C=253;O=7;E=0.46;R=15.10;rawP=4.45e-07;adjP=4.36e-05
hsa_CAGCTG_V$AP4_Q5	13	161742 11043 22924 8573 523 79885 57159 57590 29766 51339 3344 7139 79691	C=1502;O=13;E=2.75;R=4.72;rawP=3.28e-06;adjP=0.0002
hsa_YTATTTTNR_V$MEF2_02	9	11043 8573 523 27436 11183 51339 9949 7139 11216	C=691;O=9;E=1.27;R=7.11;rawP=5.01e-06;adjP=0.0002
hsa_WGGAATGY_V$TEF1_Q6	7	161742 22924 51496 57159 29766 51339 7139	C=370;O=7;E=0.68;R=10.33;rawP=5.51e-06;adjP=0.0002
hsa_CAGGTG_V$E12_Q6	14	3574 161742 11043 57104 8826 327 64750 400451 27436 6498 9949 65009 127294 29803	C=2450;O=14;E=4.49;R=3.12;rawP=0.0001;adjP=0.0020
hsa_V$PPAR_DR1_Q2	5	3920 57104 1184 490 10005	C=257;O=5;E=0.47;R=10.62;rawP=0.0001;adjP=0.0020
hsa_V$CEBPB_02	5	161742 8573 158219 51496 7764	C=252;O=5;E=0.46;R=10.83;rawP=0.0001;adjP=0.0020
hsa_V$MAF_Q6	5	3920 51496 7046 11183 10000	C=256;O=5;E=0.47;R=10.66;rawP=0.0001;adjP=0.0020
hsa_V$COUP_DR1_Q6	5	3920 57104 79885 490 10005	C=246;O=5;E=0.45;R=11.10;rawP=9.26e-05;adjP=0.0020

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).