ScDMV: a zero-one inflated beta mixture model for DNA methylation variability with scBS-seq data.

ABSTRACT:

Motivation

The utilization of single-cell bisulfite sequencing (scBS-seq) methods allows for precise analysis of DNA methylation patterns at the individual cell level, enabling the identification of rare populations, revealing cell-specific epigenetic changes, and improving differential methylation analysis. Nonetheless, the presence of sparse data and an overabundance of zeros and ones, attributed to limited sequencing depth and coverage, frequently results in reduced precision accuracy during the process of differential methylation detection using scBS-seq. Consequently, there is a pressing demand for an innovative differential methylation analysis approach that effectively tackles these data characteristics and enhances recognition accuracy.

Results

We propose a novel bet

SUBMITTER: Zhou Y 

PROVIDER: S-EPMC10786675 | biostudies-literature | 2024 Jan

REPOSITORIES: biostudies-literature