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:
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$E2F_Q4 13 9824 8318 9768 5427 5888 81620 116028 1869 6241 990 9088 983 2146 C=231;O=13;E=0.48;R=26.97;rawP=2.43e-15;adjP=1.20e-13
hsa_V$E2F_Q6 13 9824 8318 9768 5427 5888 81620 116028 1869 6241 990 9088 983 2146 C=229;O=13;E=0.48;R=27.20;rawP=2.17e-15;adjP=1.20e-13
hsa_V$E2F1_Q6 12 9824 9768 5427 81620 116028 1869 6241 1174 990 9088 983 2146 C=228;O=12;E=0.48;R=25.22;rawP=6.79e-14;adjP=1.68e-12
hsa_V$E2F1DP1RB_01 12 9824 9768 5427 5888 81620 116028 1869 6241 990 9088 983 2146 C=228;O=12;E=0.48;R=25.22;rawP=6.79e-14;adjP=1.68e-12
hsa_V$E2F1DP1_01 11 9824 9768 5427 116028 1869 6241 1174 990 9088 983 2146 C=231;O=11;E=0.48;R=22.82;rawP=2.35e-12;adjP=2.91e-11
hsa_V$E2F1DP2_01 11 9824 9768 5427 116028 1869 6241 1174 990 9088 983 2146 C=231;O=11;E=0.48;R=22.82;rawP=2.35e-12;adjP=2.91e-11
hsa_V$E2F_02 11 9824 9768 5427 116028 1869 6241 1174 990 9088 983 2146 C=231;O=11;E=0.48;R=22.82;rawP=2.35e-12;adjP=2.91e-11
hsa_V$E2F4DP2_01 11 9824 9768 5427 116028 1869 6241 1174 990 9088 983 2146 C=231;O=11;E=0.48;R=22.82;rawP=2.35e-12;adjP=2.91e-11
hsa_V$E2F4DP1_01 11 9824 9768 5427 116028 1869 6241 1174 990 9088 983 2146 C=236;O=11;E=0.49;R=22.34;rawP=2.97e-12;adjP=3.27e-11
hsa_V$E2F_Q6_01 11 9824 8318 9768 5427 5888 116028 1869 6241 990 9088 2146 C=239;O=11;E=0.50;R=22.05;rawP=3.40e-12;adjP=3.37e-11



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).