HOME: a histogram based machine learning approach for effective identification of differentially methylated regions

Volume: 20, Issue: 1
Published: May 16, 2019
Abstract
The development of whole genome bisulfite sequencing has made it possible to identify methylation differences at single base resolution throughout an entire genome. However, a persistent challenge in DNA methylome analysis is the accurate identification of differentially methylated regions (DMRs) between samples. Sensitive and specific identification of DMRs among different conditions requires accurate and efficient algorithms, and while various...
Paper Details
Title
HOME: a histogram based machine learning approach for effective identification of differentially methylated regions
Published Date
May 16, 2019
Volume
20
Issue
1
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