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ABSTRACT: Background
DNA methylation plays an important role in multiple biological processes that are closely related to human health. The study of DNA methylation can provide an insight into the mechanism behind human health and can also have a positive effect on the assessment of human health status. However, the available sequencing technology is limited by incomplete CpG coverage. Therefore, it is crucial to discover an efficient and convenient method capable of distinguishing between the states of CpG sites. Previous studies focused on identifying methylation states of the CpG sites in single cell, which only evaluated sequence information or structural information.Results
In this paper, we propose a novel model, LightCpG, which combines the positional features with the sequenc
SUBMITTER: Jiang L
PROVIDER: S-EPMC6480911 | biostudies-literature | 2019 Apr
REPOSITORIES: biostudies-literature