scMET: Bayesian modeling of DNA methylation heterogeneity at single-cell resolution
Abstract High-throughput single-cell measurements of DNA methylomes can quantify methylation heterogeneity and uncover its role in gene regulation. However, technical limitations and sparse coverage can preclude this task. scMET is a hierarchical Bayesian model which overcomes sparsity, sharing info...
Main Authors: | , , , |
---|---|
Format: | Article |
Language: | English |
Published: |
BMC
2021-04-01
|
Series: | Genome Biology |
Subjects: | |
Online Access: | https://doi.org/10.1186/s13059-021-02329-8 |