Package: qmtools
Title: Quantitative Metabolomics Data Processing Tools
Version: 1.0.0
Authors@R: c(
    person(given = "Jaehyun",
           family = "Joo",
           role = c("aut", "cre"),
           email = "jaehyunjoo@outlook.com"),
    person(given = "Blanca",
           family = "Himes",
           role = c("aut"),
           email = "bhimes@pennmedicine.upenn.edu")
           )
Description: The qmtools (quantitative metabolomics tools) package provides
             basic tools for processing quantitative metabolomics data with the
             standard SummarizedExperiment class. This includes functions for
             imputation, normalization, feature filtering, feature clustering,
             dimension-reduction, and visualization to help users prepare data
             for statistical analysis. Several functions in this package could
             also be used in other types of omics data.
License: GPL-3
Encoding: UTF-8
Roxygen: list(markdown = TRUE)
RoxygenNote: 7.1.2
biocViews: Metabolomics, Preprocessing, Normalization,
        DimensionReduction, MassSpectrometry
Imports: rlang, ggplot2, patchwork, heatmaply, methods, MsCoreUtils,
        stats, igraph, VIM, scales, grDevices, graphics
Suggests: limma, Rtsne, missForest, vsn, pcaMethods, pls, MsFeatures,
        impute, imputeLCMD, nlme, testthat (>= 3.0.0), BiocStyle,
        knitr, rmarkdown
Depends: R (>= 4.2.0), SummarizedExperiment
BugReports: https://github.com/HimesGroup/qmtools/issues
URL: https://github.com/HimesGroup/qmtools
Config/testthat/edition: 3
VignetteBuilder: knitr
LazyData: false
git_url: https://git.bioconductor.org/packages/qmtools
git_branch: RELEASE_3_15
git_last_commit: 4de5611
git_last_commit_date: 2022-04-26
Date/Publication: 2022-04-26
NeedsCompilation: no
Packaged: 2022-04-27 00:36:36 UTC; biocbuild
Author: Jaehyun Joo [aut, cre],
  Blanca Himes [aut]
Maintainer: Jaehyun Joo <jaehyunjoo@outlook.com>
Built: R 4.2.0; ; 2022-04-27 09:56:08 UTC; windows
