Package: proDA
Type: Package
Title: Differential Abundance Analysis of Label-Free Mass Spectrometry
        Data
Version: 1.27.0
Authors@R: c(person("Constantin", "Ahlmann-Eltze", email = "artjom31415@googlemail.com", 
             role = c("aut", "cre"), comment = c(ORCID = "0000-0002-3762-068X")),
             person("Simon", "Anders", email="s.anders@zmbh.uni-heidelberg.de", 
             role="ths", comment = c(ORCID = "0000-0003-4868-1805")))
Description: 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.
License: GPL-3
Encoding: UTF-8
RoxygenNote: 7.1.0
Suggests: testthat (>= 2.1.0), MSnbase, dplyr, stringr, readr, tidyr,
        tibble, limma, numDeriv, pheatmap, knitr, rmarkdown, BiocStyle
Imports: stats, utils, methods, BiocGenerics, SummarizedExperiment,
        S4Vectors, extraDistr
URL: https://github.com/const-ae/proDA
BugReports: https://github.com/const-ae/proDA/issues
biocViews: Proteomics, MassSpectrometry, DifferentialExpression,
        Bayesian, Regression, Software, Normalization, QualityControl
VignetteBuilder: knitr
Config/pak/sysreqs: zlib1g-dev
Repository: https://bioc.r-universe.dev
Date/Publication: 2026-04-28 12:50:37 UTC
RemoteUrl: https://github.com/bioc/proDA
RemoteRef: HEAD
RemoteSha: ae2d3b17498a68ebd3a5a29e4e5afa4bd2883134
NeedsCompilation: no
Packaged: 2026-07-04 23:30:30 UTC; root
Author: Constantin Ahlmann-Eltze [aut, cre] (ORCID:
    <https://orcid.org/0000-0002-3762-068X>),
  Simon Anders [ths] (ORCID: <https://orcid.org/0000-0003-4868-1805>)
Maintainer: Constantin Ahlmann-Eltze <artjom31415@googlemail.com>