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_protein-coding, 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_V$SRF_C	15	9592 1844 1958 1848 3491 3164 2354 3726 130557 1960 8061 2353 1847 1959 5008	C=207;O=15;E=1.72;R=8.70;rawP=2.17e-10;adjP=1.05e-07
hsa_GTGACGY_V$E4F1_Q6	24	1958 2077 114789 3164 79048 3187 1960 8553 85313 1847 199746 1959 6426 3491 3569 3726 2354 6434 4929 6882 91603 150094 23764 1843	C=641;O=24;E=5.34;R=4.49;rawP=7.49e-10;adjP=1.81e-07
hsa_V$CREBP1_Q2	15	1958 2077 114789 1960 2353 199746 1959 6426 49854 2354 4929 150094 23764 84807 1843	C=252;O=15;E=2.10;R=7.14;rawP=3.30e-09;adjP=5.32e-07
hsa_V$SRF_01	8	9592 1958 1960 2353 1959 2354 3726 8061	C=49;O=8;E=0.41;R=19.59;rawP=6.63e-09;adjP=8.02e-07
hsa_V$E4F1_Q6	15	2077 114789 3164 1973 1960 199746 1959 6426 49854 3491 2354 4929 150094 23764 1843	C=283;O=15;E=2.36;R=6.36;rawP=1.58e-08;adjP=1.53e-06
hsa_V$ATF_01	14	2077 114789 1960 2353 1959 6426 49854 3491 2354 6434 4929 150094 23764 1843	C=254;O=14;E=2.12;R=6.62;rawP=2.97e-08;adjP=2.40e-06
hsa_V$SRF_Q4	13	9592 1844 4487 1958 1848 3164 130557 1960 2353 1847 1959 2354 3726	C=219;O=13;E=1.82;R=7.12;rawP=3.96e-08;adjP=2.74e-06
hsa_V$CREB_Q2	13	1958 2077 1960 2353 199746 6426 49854 2354 4929 150094 23764 84807 1843	C=261;O=13;E=2.17;R=5.98;rawP=3.04e-07;adjP=1.84e-05
hsa_V$SRF_Q6	12	1844 4487 1958 3164 130557 1960 2353 1847 1959 2354 3726 8061	C=237;O=12;E=1.97;R=6.08;rawP=7.40e-07;adjP=3.98e-05
hsa_GGGAGGRR_V$MAZ_Q6	40	9196 1958 1848 6431 3949 9510 3187 1960 8553 220988 1440 6427 2354 3726 3184 3557 6781 5008 1263 3976 3280 4487 7071 9507 2077 5329 29946 1973 5411 2353 1959 388 27316 51444 1655 23237 8061 9618 9987 9584	C=2223;O=40;E=18.52;R=2.16;rawP=1.85e-06;adjP=8.95e-05

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).