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_SCGGAAGY_V$ELK1_02	18	51386 23433 9230 57149 51035 113246 7531 8667 57794 182 25904 56259 60678 8533 81605 10574 5700 7918	C=1176;O=18;E=3.46;R=5.20;rawP=1.21e-08;adjP=2.22e-06
hsa_GGGCGGR_V$SP1_Q6	28	9230 51035 5510 5702 23770 4869 3092 10423 7531 10289 11212 8828 57794 182 60678 6730 2547 10084 7320 4904 10574 26100 5705 10980 9741 4795 85359 7178	C=2891;O=28;E=8.51;R=3.29;rawP=1.86e-08;adjP=2.22e-06
hsa_RCGCANGCGY_V$NRF1_Q6	12	4733 9482 4869 10175 83939 182 119504 10284 26100 5705 7918 9040	C=894;O=12;E=2.63;R=4.56;rawP=1.42e-05;adjP=0.0010
hsa_GGAANCGGAANY_UNKNOWN	5	51035 8667 10856 529 7918	C=106;O=5;E=0.31;R=16.02;rawP=1.63e-05;adjP=0.0010
hsa_V$NRF2_Q4	6	3915 7555 5710 1917 6500 5705	C=252;O=6;E=0.74;R=8.09;rawP=0.0001;adjP=0.0040
hsa_GTGACGY_V$E4F1_Q6	9	11258 402 11212 84557 51451 6500 57117 7314 7178	C=646;O=9;E=1.90;R=4.73;rawP=0.0001;adjP=0.0040
hsa_CRGAARNNNNCGA_UNKNOWN	3	10289 9040 7178	C=47;O=3;E=0.14;R=21.68;rawP=0.0004;adjP=0.0087
hsa_GCCATNTTG_V$YY1_Q6	7	23380 7531 11212 2671 4904 26100 5705	C=419;O=7;E=1.23;R=5.67;rawP=0.0003;adjP=0.0087
hsa_GCTNWTTGK_UNKNOWN	6	7555 3092 113246 10574 7314 54958	C=299;O=6;E=0.88;R=6.81;rawP=0.0003;adjP=0.0087
hsa_TTCYRGAA_UNKNOWN	6	57149 5510 10175 10423 182 7320	C=325;O=6;E=0.96;R=6.27;rawP=0.0004;adjP=0.0087

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).