Package: NormalyzerDE
Title: Evaluation of normalization methods and calculation of
        differential expression analysis statistics
Version: 1.28.0
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")))
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: 7.2.3
URL: 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-release.r-universe.dev
Date/Publication: 2025-10-29 14:47:24 UTC
RemoteUrl: https://github.com/bioc/NormalyzerDE
RemoteRef: RELEASE_3_22
RemoteSha: 93b5996e623c9980335333544a53a4b38ac3cf48
NeedsCompilation: no
Packaged: 2025-11-11 16:13:50 UTC; root
Maintainer: Jakob Willforss <jakob.willforss@hotmail.com>
Built: R 4.5.2; ; 2025-11-11 16:19:31 UTC; windows
