Package: NormalyzerDE
Title: Evaluation of normalization methods and calculation of
        differential expression analysis statistics
Version: 1.31.0
Author: Jakob Willforss
Authors@R: c(
    person("Jakob", "Willforss", email="jakob.willforss@hotmail.com", role=c("aut", "cre")),
    person("Aakash", "Chawade", role="aut"),
    person("Fredrik", "Levander", email="fredrik.levander@immun.lth.se", role=c("aut", "ths")),
    person("Måns", "Zamore", email="mans.bioc@zamore.se", role=c("aut")))
Description: NormalyzerDE provides screening of normalization methods
        for LC-MS based expression data. It calculates a range of
        normalized matrices using both existing approaches and a novel
        time-segmented approach, calculates performance measures and
        generates an evaluation report. Furthermore, it provides an
        easy utility for Limma- or ANOVA- based differential expression
        analysis.
Imports: vsn, preprocessCore, limma, MASS, ape, car, ggplot2, methods,
        utils, stats, SummarizedExperiment, matrixStats, ggforce
Suggests: knitr, testthat, rmarkdown, roxygen2, hexbin, BiocStyle
VignetteBuilder: knitr
biocViews: Normalization, MultipleComparison, Visualization, Bayesian,
        Proteomics, Metabolomics, DifferentialExpression
License: Artistic-2.0
Encoding: UTF-8
RoxygenNote: 7.3.3
URL: https://computationalproteomics.github.io/NormalyzerDE/,
        https://github.com/ComputationalProteomics/NormalyzerDE
Depends: R (>= 4.1.0)
Config/pak/sysreqs: cmake libfontconfig1-dev libfreetype6-dev make
        libicu-dev zlib1g-dev
Repository: https://bioc.r-universe.dev
Date/Publication: 2026-04-28 12:48:39 UTC
RemoteUrl: https://github.com/bioc/NormalyzerDE
RemoteRef: HEAD
RemoteSha: 0c481c1161717045f1dd90c318de99b0e758f700
NeedsCompilation: no
Packaged: 2026-07-03 15:55:56 UTC; root
Maintainer: Jakob Willforss <jakob.willforss@hotmail.com>