Package: QFeatures
Title: Quantitative features for mass spectrometry data
Version: 1.18.0
Authors@R: c(person("Laurent", "Gatto",
                    email = "laurent.gatto@uclouvain.be",
                    comment = c(ORCID = "0000-0002-1520-2268"),
                    role = c("aut", "cre")),
             person("Christophe", "Vanderaa",
                    email = "christophe.vanderaa@uclouvain.be",
                    comment = c(ORCID = "0000-0001-7443-5427"),
                    role = "aut"),
             person("Léopold", "Guyot",
                     email = "leopold.guyot@ulb.be",
                     role = "ctb"))
Description: The QFeatures infrastructure enables the management and
   processing of quantitative features for high-throughput mass
   spectrometry assays. It provides a familiar Bioconductor user
   experience to manages quantitative data across different assay
   levels (such as peptide spectrum matches, peptides and proteins) in
   a coherent and tractable format.
Depends: R (>= 4.1.0), MultiAssayExperiment
Imports: methods, stats, utils, S4Vectors, IRanges,
        SummarizedExperiment, BiocGenerics, ProtGenerics (>= 1.35.1),
        AnnotationFilter, lazyeval, Biobase, MsCoreUtils (>= 1.7.2),
        igraph, grDevices, plotly, tidyr, tidyselect, reshape2
Suggests: SingleCellExperiment, MsDataHub (>= 1.3.3), Matrix,
        HDF5Array, msdata, ggplot2, gplots, dplyr, limma, DT, shiny,
        shinydashboard, testthat, knitr, BiocStyle, rmarkdown, vsn,
        preprocessCore, matrixStats, imputeLCMD, pcaMethods, impute,
        norm, ComplexHeatmap
biocViews: Infrastructure, MassSpectrometry, Proteomics, Metabolomics
License: Artistic-2.0
Encoding: UTF-8
VignetteBuilder: knitr
BugReports: https://github.com/RforMassSpectrometry/QFeatures/issues
URL: https://github.com/RforMassSpectrometry/QFeatures
Collate: 'AllGenerics.R' 'AssayLinks.R' 'QFeatures-class.R'
        'QFeatures-functions.R' 'QFeatures-processing.R'
        'QFeatures-filter.R' 'QFeatures-missing-data.R'
        'QFeatures-aggregation.R' 'QFeatures-imputation.R'
        'QFeatures-join.R' 'QFeatures-validity.R'
        'SummarizedExperiment-methods.R' 'subsetBy-methods.R'
        'readQFeatures.R' 'readQFeaturesFromDIANN.R' 'data.R'
        'reduce.R' 'utils.R' 'display.R'
Roxygen: list(markdown=TRUE)
RoxygenNote: 7.3.2
git_url: https://git.bioconductor.org/packages/QFeatures
git_branch: RELEASE_3_21
git_last_commit: 0624a82
git_last_commit_date: 2025-04-15
Repository: Bioconductor 3.21
Date/Publication: 2025-04-15
NeedsCompilation: no
Packaged: 2025-04-16 03:02:50 UTC; biocbuild
Author: Laurent Gatto [aut, cre] (ORCID:
    <https://orcid.org/0000-0002-1520-2268>),
  Christophe Vanderaa [aut] (ORCID:
    <https://orcid.org/0000-0001-7443-5427>),
  Léopold Guyot [ctb]
Maintainer: Laurent Gatto <laurent.gatto@uclouvain.be>
Built: R 4.5.0; ; 2025-04-16 15:13:32 UTC; windows
