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_SCGGAAGY_V$ELK1_02	40	6181 11333 11316 6193 25804 9049 6135 1933 23478 51255 2079 84844 6155 51399 6194 4201 6168 6143 9158 6222 6154 7353 23256 6166 3035 6230 7264 29997 8409 6160 6128 9270 51504 10421 54555 6189 6167 6161 6208 6188	C=1176;O=40;E=5.24;R=7.64;rawP=8.76e-24;adjP=2.15e-21
hsa_V$NRF2_01	14	10467 8664 6193 6164 23478 6155 9158 6222 55851 6159 6128 51504 10421 6167	C=265;O=14;E=1.18;R=11.87;rawP=1.91e-11;adjP=2.34e-09
hsa_GGGCGGR_V$SP1_Q6	40	3178 23480 8664 9784 6748 4925 2950 9049 23478 5036 6141 11161 84844 4201 2091 147807 6166 29997 79002 6132 3956 51071 8890 10421 6189 6191 6167 6165 7165 6136 6208 51614 6223 9045 57819 10465 6146 6188 86 83930	C=2891;O=40;E=12.87;R=3.11;rawP=1.17e-10;adjP=9.56e-09
hsa_TMTCGCGANR_UNKNOWN	9	6748 6194 6154 4736 5052 6136 6210 6201 6223	C=158;O=9;E=0.70;R=12.79;rawP=4.31e-08;adjP=2.64e-06
hsa_GGAANCGGAANY_UNKNOWN	7	23480 11333 23478 7311 6169 10399 6158	C=106;O=7;E=0.47;R=14.83;rawP=5.22e-07;adjP=2.13e-05
hsa_GCCATNTTG_V$YY1_Q6	12	3178 6202 9784 6748 9049 1933 6134 7311 6142 8890 6165 689	C=419;O=12;E=1.87;R=6.43;rawP=4.64e-07;adjP=2.13e-05
hsa_CACGTG_V$MYC_Q2	18	3178 6187 6156 23521 26520 1933 5036 30836 6205 746 4201 6143 2091 90701 51602 6223 6146 9521	C=1015;O=18;E=4.52;R=3.98;rawP=7.86e-07;adjP=2.75e-05
hsa_MGGAAGTG_V$GABP_B	15	23478 2079 6205 6194 6155 9158 6222 55851 7353 8409 6171 51504 10421 3921 6167	C=744;O=15;E=3.31;R=4.53;rawP=1.44e-06;adjP=4.41e-05
hsa_TGCGCANK_UNKNOWN	12	3178 10467 6125 9049 6217 11161 4201 5805 6143 7311 9045 26168	C=537;O=12;E=2.39;R=5.02;rawP=5.98e-06;adjP=0.0001
hsa_ACTAYRNNNCCCR_UNKNOWN	11	6138 9784 5036 746 6205 55851 7353 6128 6129 8890 6233	C=444;O=11;E=1.98;R=5.56;rawP=5.62e-06;adjP=0.0001

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).