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

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 genomic featu...

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Detalles Bibliográficos
Autores principales:	Zou, Luli S., Erdos, Michael R., Taylor, D. Leland, Chines, Peter S., Varshney, Arushi, Parker, Stephen C. J., Collins, Francis S., Didion, John P.
Formato:	Online Artículo Texto
Lenguaje:	English
Publicado:	BioMed Central 2018
Materias:	Methodology Article
Acceso en línea:	https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5966887/ https://www.ncbi.nlm.nih.gov/pubmed/29792182 http://dx.doi.org/10.1186/s12864-018-4766-y

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