RAMClustR: Mass Spectrometry Metabolomics Feature Clustering and Interpretation

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.

Version: 1.2.4
Depends: R (≥ 3.5.0)
Imports: dynamicTreeCut, fastcluster, ff, httr, jsonlite, preprocessCore, e1071, gplots, pcaMethods, stringr, utils, webchem, RCurl, ggplot2, readxl
Suggests: knitr, rmarkdown, xcms, testthat, MSnbase, InterpretMSSpectrum, BiocManager, xml2, stringi
Published: 2022-04-13
Author: Corey D. Broeckling ORCID iD [aut], Fayyaz Afsar [aut], Steffen Neumann [aut], Asa Ben-Hur [aut], Jessica Prenni [aut], Helge Hecht ORCID iD [cre]
Maintainer: Helge Hecht <helge.hecht at recetox.muni.cz>
License: GPL-2 | GPL-3 [expanded from: GPL (≥ 2)]
URL: https://github.com/cbroeckl/RAMClustR
NeedsCompilation: no
Materials: README ChangeLog
CRAN checks: RAMClustR results


Reference manual: RAMClustR.pdf
Vignettes: RAMClustR: post-XCMS Feature Clustering


Package source: RAMClustR_1.2.4.tar.gz
Windows binaries: r-devel: RAMClustR_1.2.4.zip, r-release: RAMClustR_1.2.4.zip, r-oldrel: RAMClustR_1.2.4.zip
macOS binaries: r-release (arm64): RAMClustR_1.2.4.tgz, r-oldrel (arm64): RAMClustR_1.2.4.tgz, r-release (x86_64): RAMClustR_1.2.4.tgz, r-oldrel (x86_64): RAMClustR_1.2.4.tgz
Old sources: RAMClustR archive


Please use the canonical form https://CRAN.R-project.org/package=RAMClustR to link to this page.