Genome-wide prediction of cis-regulatory regions using supervised deep learning methods

Genome-wide prediction of cis-regulatory regions using supervised deep learning methods

Abstract Background In the human genome, 98% of DNA sequences are non-protein-coding regions that were previously disregarded as junk DNA. In fact, non-coding regions host a variety of cis-regulatory regions which precisely control the expression of genes. Thus, Identifying active cis-regulatory reg...

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Bibliographic Details
Main Authors: Yifeng Li, Wenqiang Shi, Wyeth W. Wasserman
Format: Article
Language:English
Published: BMC 2018-05-01
Series:BMC Bioinformatics
Subjects:
cis-regulatory region
Enhancer
Promoter
Deep learning
Online Access:http://link.springer.com/article/10.1186/s12859-018-2187-1

Internet

http://link.springer.com/article/10.1186/s12859-018-2187-1

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