Package: yamss
Version: 1.36.0
Title: Tools for high-throughput metabolomics
Description: Tools to analyze and visualize high-throughput metabolomics data
    aquired using chromatography-mass spectrometry. These tools preprocess
    data in a way that enables reliable and powerful differential analysis. At the core of these methods is a peak detection phase that pools information across all samples simultaneously. This is in contrast to other methods that detect peaks in a sample-by-sample basis.
Authors@R: c(
      person("Leslie", "Myint", role = c("cre", "aut"), email = "leslie.myint@gmail.com", comment = c(ORCID = "0000-0003-2478-0331")),
      person(c("Kasper", "Daniel"), "Hansen", role = "aut"))
Depends: R (>= 4.3.0), methods, BiocGenerics (>= 0.15.3),
        SummarizedExperiment
Suggests: BiocStyle, knitr, rmarkdown, digest, mtbls2, testthat
Imports: IRanges, stats, S4Vectors, EBImage, Matrix, mzR, data.table,
        grDevices, limma
VignetteBuilder: knitr
License: Artistic-2.0
URL: https://github.com/hansenlab/yamss
BugReports: https://github.com/hansenlab/yamss/issues
biocViews: MassSpectrometry, Metabolomics, PeakDetection, Software
git_url: https://git.bioconductor.org/packages/yamss
git_branch: RELEASE_3_22
git_last_commit: 268fc64
git_last_commit_date: 2025-10-29
Repository: Bioconductor 3.22
Date/Publication: 2025-10-29
NeedsCompilation: no
Packaged: 2025-10-30 05:56:45 UTC; biocbuild
Author: Leslie Myint [cre, aut] (ORCID:
    <https://orcid.org/0000-0003-2478-0331>),
  Kasper Daniel Hansen [aut]
Maintainer: Leslie Myint <leslie.myint@gmail.com>
Built: R 4.5.1; ; 2025-10-30 12:46:03 UTC; unix
