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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 "DMCFB" in publications use:'
type: software
license: GPL-3.0-only
title: 'DMCFB: Differentially Methylated Cytosines via a Bayesian Functional Approach'
version: 1.19.0
abstract: DMCFB is a pipeline for identifying differentially methylated cytosines
  using a Bayesian functional regression model in bisulfite sequencing data. By using
  a functional regression data model, it tries to capture position-specific, group-specific
  and other covariates-specific methylation patterns as well as spatial correlation
  patterns and unknown underlying models of methylation data. It is robust and flexible
  with respect to the true underlying models and inclusion of any covariates, and
  the missing values are imputed using spatial correlation between positions and samples.
  A Bayesian approach is adopted for estimation and inference in the proposed method.
authors:
- family-names: Shokoohi
  given-names: Farhad
  email: shokoohi@icloud.com
  orcid: https://orcid.org/0000-0002-6224-2609
preferred-citation:
  type: manual
  title: 'DMCFB: an R package to identify differentially methylated cytosines using
    Bayesian functional regression models, Version 1.3.1'
  authors:
  - family-names: Shokoohi
    given-names: Farhad
    email: shokoohi@icloud.com
    orcid: https://orcid.org/0000-0002-6224-2609
  year: '2020'
  url: http://bioconductor.org/packages/DMCFB/
repository: https://bioc.r-universe.dev
repository-code: https://github.com/shokoohi/DMCFB
url: https://github.com/shokoohi/DMCFB
contact:
- family-names: Shokoohi
  given-names: Farhad
  email: shokoohi@icloud.com
  orcid: https://orcid.org/0000-0002-6224-2609
references:
- type: article
  title: Identifying Differentially Methylated Cytosines in Bisulfite Sequencing Data
    via a Bayesian Functional Regression Model
  authors:
  - family-names: Shokoohi
    given-names: Farhad
  - family-names: Stephens
    given-names: David
  - family-names: Greenwood
    given-names: Celia
  year: '2019'
  journal: Biometrics
  doi: 'DOI: 10.1111/biom.12965'
  url: https://doi.org/10.1111/biom.12965