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Methylation data imputation performances under different representations and missingness patterns

Abstract Background High-throughput technologies enable the cost-effective collection and analysis of DNA methylation data throughout the human genome. This naturally entails missing values management that can complicate the analysis of the data. Several general and specific imputation methods are s...

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Detalhes bibliográficos
Publicado no:BMC Bioinformatics
Main Authors: Pietro Di Lena, Claudia Sala, Andrea Prodi, Christine Nardini
Formato: Artigo
Publicado em: BMC 2020-06-01
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Acesso em linha:http://link.springer.com/article/10.1186/s12859-020-03592-5
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