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# CITATION file created with {cffr} R package
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cff-version: 1.2.0
message: 'To cite package "DEqMS" in publications use:'
type: software
license: LGPL-2.0-only
title: 'DEqMS: a tool to perform statistical analysis of differential protein expression
  for quantitative proteomics data.'
version: 1.23.0
abstract: DEqMS is developped on top of Limma. However, Limma assumes same prior variance
  for all genes. In proteomics, the accuracy of protein abundance estimates varies
  by the number of peptides/PSMs quantified in both label-free and labelled data.
  Proteins quantification by multiple peptides or PSMs are more accurate. DEqMS package
  is able to estimate different prior variances for proteins quantified by different
  number of PSMs/peptides, therefore acchieving better accuracy. The package can be
  applied to analyze both label-free and labelled proteomics data.
authors:
- family-names: Zhu
  given-names: Yafeng
  email: yafeng.zhu@outlook.com
repository: https://bioc.r-universe.dev
repository-code: https://github.com/yafeng/DEqMS
url: https://github.com/yafeng/DEqMS
contact:
- family-names: Zhu
  given-names: Yafeng
  email: yafeng.zhu@outlook.com