# --------------------------------------------
# CITATION file created with {cffr} R package
# See also: https://docs.ropensci.org/cffr/
# --------------------------------------------
 
cff-version: 1.2.0
message: 'To cite package "EnMCB" in publications use:'
type: software
license: GPL-2.0-only
title: 'EnMCB: Predicting Disease Progression Based on Methylation Correlated Blocks
  using Ensemble Models'
version: 1.24.0
doi: 10.1093/bioinformatics/btab415
identifiers:
- type: doi
  value: 10.32614/CRAN.package.EnMCB
abstract: Creation of the correlated blocks using DNA methylation profiles. Machine
  learning models can be constructed to predict differentially methylated blocks and
  disease progression.
authors:
- family-names: Yu
  given-names: Xin
  email: whirlsyu@gmail.com
preferred-citation:
  type: article
  title: 'EnMCB: an R/bioconductor package for predicting disease progression based
    on methylation correlated blocks using ensemble models'
  authors:
  - family-names: Yu
    given-names: Xin
    email: whirlsyu@gmail.com
  - family-names: Kong
    given-names: De-Xin
  journal: Bioinformatics
  year: '2021'
  url: https://doi.org/10.1093/bioinformatics/btab415
  start: btab415
  doi: 10.1093/bioinformatics/btab415
repository: https://bioc-release.r-universe.dev
repository-code: https://github.com/whirlsyu/EnMCB
commit: d410f9e90571959947aecb13af82c18ff2204c97
url: https://github.com/whirlsyu/EnMCB
date-released: '2023-03-13'
contact:
- family-names: Yu
  given-names: Xin
  email: whirlsyu@gmail.com