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Article

Systematic Prediction of Regulatory Motifs from Human ChIP-Sequencing Data Based on a Deep Learning Framework

2018-09-16

Abstract excerpt

<h4>ABSTRACT</h4> Identification of transcription factor binding sites (TFBSs) and cis -regulatory motifs ( motifs for short) from genomics datasets, provides a powerful view of the rules governing the interactions between TFs and DNA. Existing motif prediction methods however, are limited by high false positive rates in TFBSs identification, contributions from non-sequence-specific binding, and complex and ind...

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Literature Corpus work
a36e1e74-5696-5b77-b2a4-8343a170041c
DOI
10.1101/417378
Open publication

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Systematic Prediction of Regulatory Motifs from Human ChIP-Sequencing Data Based on a Deep Learning FrameworkDOI 10.1101/417378
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