Package: proDA
Type: Package
Title: Differential Abundance Analysis of Label-Free Mass Spectrometry
        Data
Version: 1.8.0
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, DEP, numDeriv, pheatmap, knitr, rmarkdown
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
git_url: https://git.bioconductor.org/packages/proDA
git_branch: RELEASE_3_14
git_last_commit: 933d1ff
git_last_commit_date: 2021-10-26
Date/Publication: 2021-10-26
NeedsCompilation: no
Packaged: 2021-10-26 22:22:59 UTC; biocbuild
Author: Constantin Ahlmann-Eltze [aut, cre]
    (<https://orcid.org/0000-0002-3762-068X>),
  Simon Anders [ths] (<https://orcid.org/0000-0003-4868-1805>)
Maintainer: Constantin Ahlmann-Eltze <artjom31415@googlemail.com>
Built: R 4.1.1; ; 2021-11-04 20:28:23 UTC; unix
