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dPattern: transcription factor binding site (TFBS) discovery in human genome using a discriminative pattern analysis
Author(s) -
Seung-Hee Bae,
Haixu Tang,
Jing Qin Wu,
Jun Xie,
Sun Kim
Publication year - 2007
Publication title -
bioinformatics
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 3.599
H-Index - 390
eISSN - 1367-4811
pISSN - 1367-4803
DOI - 10.1093/bioinformatics/btm288
Subject(s) - dna binding site , false positive paradox , promoter , discriminative model , binding site , computational biology , transcription factor , genome , genetics , gene , biology , data mining , computer science , gene expression , artificial intelligence
Transcription factor binding sites (TFBSs) are typically short in length, thus search with a profile model from known TFBSs produces many false positives. When combined with additional information, gene expression data in this article, sensitivity and specificity of TFBS search can be improved significantly.

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