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# CITATION file created with {cffr} R package
# See also: https://docs.ropensci.org/cffr/
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cff-version: 1.2.0
message: 'To cite package "vmrseq" in publications use:'
type: software
license: MIT
title: 'vmrseq: Probabilistic Modeling of Single-cell Methylation Heterogeneity'
version: 1.5.0
doi: 10.1101/2023.11.20.567911
identifiers:
- type: doi
  value: 10.32614/CRAN.package.vmrseq
abstract: High-throughput single-cell measurements of DNA methylation allows studying
  inter-cellular epigenetic heterogeneity, but this task faces the challenges of sparsity
  and noise. We present vmrseq, a statistical method that overcomes these challenges
  and identifies variably methylated regions accurately and robustly.
authors:
- family-names: Shen
  given-names: Ning
  email: ning.shen.wk@gmail.com
preferred-citation:
  type: article
  title: 'vmrseq: Probabilistic Modeling of Single-cell Methylation Heterogeneity'
  authors:
  - family-names: Ning
    given-names: Shen
  - family-names: Korthauer
    given-names: Keegan
  year: '2023'
  publisher:
    name: Cold Spring Harbor Laboratory
  journal: bioRxiv
  doi: 10.1101/2023.11.20.567911
repository: https://bioc.r-universe.dev
repository-code: https://github.com/nshen7/vmrseq
commit: 350bbc11e7fd7c7e02eee54cff1cf5d9f293a40c
url: https://github.com/nshen7/vmrseq
date-released: '2026-04-28'
contact:
- family-names: Shen
  given-names: Ning
  email: ning.shen.wk@gmail.com