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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 "proDA" in publications use:'
type: software
license: GPL-3.0-only
title: 'proDA: Differential Abundance Analysis of Label-Free Mass Spectrometry Data'
version: 1.19.0
abstract: Account for missing values in label-free mass spectrometry data without
  imputation. The package implements a probabilistic dropout model that ensures that
  the information from observed and missing values are properly combined. It adds
  empirical Bayesian priors to increase power to detect differentially abundant proteins.
authors:
- family-names: Ahlmann-Eltze
  given-names: Constantin
  email: artjom31415@googlemail.com
  orcid: https://orcid.org/0000-0002-3762-068X
repository: https://bioc.r-universe.dev
repository-code: https://github.com/const-ae/proDA
url: https://github.com/const-ae/proDA
contact:
- family-names: Ahlmann-Eltze
  given-names: Constantin
  email: artjom31415@googlemail.com
  orcid: https://orcid.org/0000-0002-3762-068X