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$SP1_Q6	54	6938 80742 11093 1801 1388 26013 92335 63922 56949 23053 5977 7095 23500 51380 10629 10013 154807 6120 4485 9924 8562 1877 55512 30000 3191 85007 10097 10817 54795 84330 23133 11253 57708 220064 57805 152519 9179 9129 8675 54939 4302 56658 2744 3299 55716 56850 4802 27037 7517 2521 114785 23315 4595 9869	C=2891;O=54;E=15.15;R=3.56;rawP=1.54e-16;adjP=5.34e-14
hsa_SCGGAAGY_V$ELK1_02	33	9820 1388 2071 6908 30827 56949 23053 91949 51380 153339 283899 6120 25901 5826 10641 10097 84065 8398 6433 57708 23644 9179 84720 81887 56658 4302 81576 124401 56850 49856 23315 79869 9869	C=1176;O=33;E=6.16;R=5.35;rawP=4.78e-15;adjP=8.29e-13
hsa_TMTCGCGANR_UNKNOWN	9	7095 23567 11180 8562 63906 84330 4802 2521 80152	C=158;O=9;E=0.83;R=10.87;rawP=1.73e-07;adjP=2.00e-05
hsa_GATTGGY_V$NFY_Q6_01	20	26121 2592 10629 9924 10902 9772 64852 30000 9400 6309 8398 51409 9179 8675 2744 81576 4802 7517 114785 150696	C=1141;O=20;E=5.98;R=3.34;rawP=2.93e-06;adjP=0.0003
hsa_RCGCANGCGY_V$NRF1_Q6	17	2130 5977 4485 10641 3191 23524 5609 57708 6604 9129 114823 56658 10307 55754 2521 10585 6625	C=894;O=17;E=4.68;R=3.63;rawP=5.83e-06;adjP=0.0004
hsa_V$CREB_Q4	9	80742 23500 317781 80169 84286 56658 81576 55846 79869	C=267;O=9;E=1.40;R=6.43;rawP=1.31e-05;adjP=0.0006
hsa_MGGAAGTG_V$GABP_B	15	6938 9820 6908 51380 283899 153339 64852 51093 220064 57805 23644 56658 27037 54758 8086	C=744;O=15;E=3.90;R=3.85;rawP=1.06e-05;adjP=0.0006
hsa_V$CREB_Q2_01	8	80742 23500 10013 317781 9400 80169 56658 55846	C=219;O=8;E=1.15;R=6.97;rawP=2.25e-05;adjP=0.0009
hsa_GGGAGGRR_V$MAZ_Q6	28	6938 9820 2130 1388 5977 51380 154807 8562 55512 9772 64852 30000 3191 114881 23524 10817 6433 57708 57805 6604 84720 8675 4302 4802 2521 114785 197335 79869	C=2250;O=28;E=11.79;R=2.37;rawP=2.12e-05;adjP=0.0009
hsa_V$GABP_B	8	6908 51380 23644 84720 89941 56658 27037 79869	C=252;O=8;E=1.32;R=6.06;rawP=6.06e-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).