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_GGGCGGR_V$SP1_Q6	10	54623 8148 9092 7317 9322 64743 7917 8241 6683 9785	C=2891;O=10;E=1.68;R=5.97;rawP=2.31e-06;adjP=9.70e-05
hsa_SCGGAAGY_V$ELK1_02	6	9092 7317 10921 23162 6829 7917	C=1176;O=6;E=0.68;R=8.80;rawP=4.61e-05;adjP=0.0006
hsa_GATTGGY_V$NFY_Q6_01	6	54623 8148 14 7917 8241 9785	C=1141;O=6;E=0.66;R=9.07;rawP=3.89e-05;adjP=0.0006
hsa_GCCATNTTG_V$YY1_Q6	4	8148 7317 64743 8241	C=419;O=4;E=0.24;R=16.47;rawP=9.45e-05;adjP=0.0010
hsa_GGGAGGRR_V$MAZ_Q6	7	8148 9322 64743 5709 14 7917 27043	C=2250;O=7;E=1.30;R=5.37;rawP=0.0002;adjP=0.0017
hsa_V$ELK1_02	3	23162 6829 7917	C=245;O=3;E=0.14;R=21.12;rawP=0.0004;adjP=0.0028
hsa_CCCNNGGGAR_V$OLF1_01	3	64743 14 8241	C=314;O=3;E=0.18;R=16.48;rawP=0.0008;adjP=0.0048
hsa_SNACANNNYSYAGA_UNKNOWN	2	9322 14	C=89;O=2;E=0.05;R=38.77;rawP=0.0012;adjP=0.0061
hsa_AACYNNNNTTCCS_UNKNOWN	2	9322 14	C=93;O=2;E=0.05;R=37.10;rawP=0.0013;adjP=0.0061
hsa_V$ZIC2_01	2	64743 7917	C=244;O=2;E=0.14;R=14.14;rawP=0.0088;adjP=0.0175

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).