DESCRIPTION

Package: QFeatures
Title: Quantitative features for mass spectrometry data
Version: 1.15.3
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"))
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 (>= 4.0), 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