DESCRIPTION

Package: RAMClustR
Type: Package
Title: Mass Spectrometry Metabolomics Feature Clustering and Interpretation
Version: 1.3.0
Date: 2023-05-17
Authors@R:
    c(person(given = "Corey D.", family = "Broeckling",
             role = c("aut"),
             email = "Corey.Broeckling@ColoState.EDU",
             comment = c(ORCID = "0000-0002-6158-827X")),
      person("Fayyaz", "Afsar", role = c("aut")),
      person("Steffen", "Neumann", role = c("aut")),
      person("Asa", "Ben-Hur", role = c("aut")),
      person("Jessica", "Prenni", role = c("aut")),
      person(given = "Helge", family = "Hecht",
             email = "helge.hecht@recetox.muni.cz",
             role = c("cre"),
             comment = c(ORCID = "0000-0001-6744-996X")))
Imports: dynamicTreeCut, fastcluster, preprocessCore, e1071, gplots, pcaMethods, utils, ggplot2, InterpretMSSpectrum
Depends: R (>= 3.5.0)
Suggests: knitr, rmarkdown, xcms, testthat, BiocManager, stringi, curl
License: MIT
Description: A feature clustering algorithm for non-targeted mass spectrometric metabolomics data. This method is compatible with gas and liquid chromatography coupled mass spectrometry, including indiscriminant tandem mass spectrometry <DOI: 10.1021/ac501530d> data. 
URL: https://github.com/cbroeckl/RAMClustR
Encoding: UTF-8
biocViews: MassSpectrometry, Metabolomics
RoxygenNote: 7.2.3
VignetteBuilder: knitr