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# CITATION file created with {cffr} R package
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cff-version: 1.2.0
message: 'To cite package "HIREewas" in publications use:'
type: software
license: GPL-2.0-or-later
title: 'HIREewas: Detection of cell-type-specific risk-CpG sites in epigenome-wide
  association studies'
version: 1.23.0
abstract: In epigenome-wide association studies, the measured signals for each sample
  are a mixture of methylation profiles from different cell types. The current approaches
  to the association detection only claim whether a cytosine-phosphate-guanine (CpG)
  site is associated with the phenotype or not, but they cannot determine the cell
  type in which the risk-CpG site is affected by the phenotype. We propose a solid
  statistical method, HIgh REsolution (HIRE), which not only substantially improves
  the power of association detection at the aggregated level as compared to the existing
  methods but also enables the detection of risk-CpG sites for individual cell types.
  The "HIREewas" R package is to implement HIRE model in R.
authors:
- family-names: Luo
  given-names: Xiangyu
  email: xyluo1991@gmail.com
- family-names: Yang
  given-names: Can
  email: macyang@ust.hk
- family-names: Wei
  given-names: Yingying
  email: yweicuhk@gmail.com
preferred-citation:
  type: manual
  title: Detection of cell-type-specific risk-CpG sites in epigenome-wide association
    studies
  authors:
  - family-names: Luo
    given-names: Xiangyu
    email: xyluo1991@gmail.com
  - family-names: Yang
    given-names: Can
    email: macyang@ust.hk
  - family-names: Wei
    given-names: Yingying
    email: yweicuhk@gmail.com
  year: '2019'
  notes: 'Nature Communications, Volume 10, Article number: 3113.'
repository: https://bioc.r-universe.dev
date-released: '2018-06-11'
contact:
- family-names: Luo
  given-names: Xiangyu
  email: xyluo1991@gmail.com