BoostMe accurately predicts DNA methylation values in whole-genome bisulfite sequencing of multiple human tissues

BoostMe accurately predicts DNA methylation values in whole-genome bisulfite sequencing of multiple human tissues

Abstract Background Bisulfite sequencing is widely employed to study the role of DNA methylation in disease; however, the data suffer from biases due to coverage depth variability. Imputation of methylation values at low-coverage sites may mitigate these biases while also identifying important genom...

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Bibliographic Details
Main Authors: Luli S. Zou, Michael R. Erdos, D. Leland Taylor, Peter S. Chines, Arushi Varshney, The McDonnell Genome Institute, Stephen C. J. Parker, Francis S. Collins, John P. Didion
Format: Article
Language:English
Published: BMC 2018-05-01
Series:BMC Genomics
Subjects:
DNA methylation
XGBoost
Whole-genome bisulfite sequencing (WGBS)
EPIC
Imputation
Adipose
Online Access:http://link.springer.com/article/10.1186/s12864-018-4766-y

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http://link.springer.com/article/10.1186/s12864-018-4766-y

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