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$SP1_Q6	30	81609 84324 26231 51566 165055 84881 2475 2140 22927 1457 10749 79109 4967 23786 1780 6710 3895 23042 10133 3069 5707 1845 10193 5887 11011 57620 7414 3837 8945 63891	C=2891;O=30;E=8.65;R=3.47;rawP=1.53e-09;adjP=4.54e-07
hsa_AACTTT_UNKNOWN	19	81609 51566 10928 1950 10061 1457 64771 7468 8303 1780 6710 56888 9917 9215 11011 27347 7414 8945 23633	C=1859;O=19;E=5.56;R=3.42;rawP=2.90e-06;adjP=0.0003
hsa_V$PPARA_02	6	6767 10749 23381 5887 3837 1639	C=127;O=6;E=0.38;R=15.79;rawP=2.45e-06;adjP=0.0003
hsa_TGGNNNNNNKCCAR_UNKNOWN	9	79607 2140 2137 6710 3069 1845 84193 7414 388115	C=411;O=9;E=1.23;R=7.32;rawP=4.45e-06;adjP=0.0003
hsa_TMTCGCGANR_UNKNOWN	6	9887 7812 55720 23381 11011 1716	C=158;O=6;E=0.47;R=12.70;rawP=8.62e-06;adjP=0.0005
hsa_CAGGTG_V$E12_Q6	21	84324 51566 84881 1950 2140 2137 10749 84548 80335 10644 5869 6710 3895 3069 165324 10495 1845 92154 11011 1639 388115	C=2450;O=21;E=7.33;R=2.87;rawP=1.25e-05;adjP=0.0006
hsa_V$ATF_01	6	6767 4967 23042 3069 84656 1639	C=256;O=6;E=0.77;R=7.84;rawP=0.0001;adjP=0.0021
hsa_TGACCTY_V$ERR1_Q2	12	51560 64771 10749 1457 80335 23786 1845 28996 54764 11346 388115 1639	C=1023;O=12;E=3.06;R=3.92;rawP=6.14e-05;adjP=0.0021
hsa_TATAAA_V$TATA_01	13	84324 165055 79607 1950 7468 80335 5869 6710 7812 57620 54764 55031 64766	C=1276;O=13;E=3.82;R=3.41;rawP=0.0001;adjP=0.0021
hsa_V$STAT3_02	5	84881 9887 163 7414 3837	C=145;O=5;E=0.43;R=11.53;rawP=7.89e-05;adjP=0.0021

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).