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$SP1_Q6	24	10983 23339 284098 4303 6830 208 51667 23038 4779 4209 10277 246330 29978 10444 23710 132320 57658 81876 79784 4850 5528 1642 2222 57659	C=2891;O=24;E=3.35;R=7.16;rawP=1.36e-15;adjP=2.18e-13
hsa_TGCGCANK_UNKNOWN	7	10983 4303 23038 81876 25792 4850 57659	C=537;O=7;E=0.62;R=11.24;rawP=2.81e-06;adjP=0.0001
hsa_GGGTGGRR_V$PAX4_03	10	4601 4303 10318 4779 23327 4209 10277 57658 56478 4850	C=1278;O=10;E=1.48;R=6.75;rawP=1.76e-06;adjP=0.0001
hsa_V$P53_DECAMER_Q2	5	4601 4779 81876 25792 4850	C=253;O=5;E=0.29;R=17.05;rawP=1.14e-05;adjP=0.0003
hsa_V$MTF1_Q4	5	4303 23038 132320 25792 5528	C=246;O=5;E=0.29;R=17.53;rawP=9.96e-06;adjP=0.0003
hsa_V$SPZ1_01	5	4303 208 23038 57658 4850	C=225;O=5;E=0.26;R=19.17;rawP=6.47e-06;adjP=0.0003
hsa_CAGGTG_V$E12_Q6	12	284098 4303 6830 23038 23327 246330 51309 79784 4850 23242 1642 57659	C=2450;O=12;E=2.84;R=4.22;rawP=1.77e-05;adjP=0.0004
hsa_RCGCANGCGY_V$NRF1_Q6	7	10983 4303 208 23038 81876 4850 57659	C=894;O=7;E=1.04;R=6.75;rawP=7.39e-05;adjP=0.0015
hsa_CCGNMNNTNACG_UNKNOWN	3	6830 10444 4850	C=75;O=3;E=0.09;R=34.50;rawP=9.34e-05;adjP=0.0015
hsa_CAGNYGKNAAA_UNKNOWN	3	208 23038 4209	C=74;O=3;E=0.09;R=34.97;rawP=8.97e-05;adjP=0.0015

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).