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 data <doi:10.1021/ac501530d>.

Version: 1.3.1
Depends: R (≥ 3.5.0)
Imports: dynamicTreeCut, fastcluster, httr, jsonlite, e1071, gplots, pcaMethods, stringr, utils, webchem, ggplot2, methods
Suggests: knitr, rmarkdown, xcms, testthat, patrick, MSnbase, InterpretMSSpectrum (≥ 1.3.8), BiocManager, xml2, stringi, readxl, curl, rentrez
Published: 2023-10-20
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], Matej Trojak [ctb], Zargham Ahmad [ctb]
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
In views: Omics
CRAN checks: RAMClustR results


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


Package source: RAMClustR_1.3.1.tar.gz
Windows binaries: r-prerel: RAMClustR_1.3.1.zip, r-release: RAMClustR_1.3.1.zip, r-oldrel: RAMClustR_1.3.1.zip
macOS binaries: r-prerel (arm64): RAMClustR_1.3.1.tgz, r-release (arm64): RAMClustR_1.3.1.tgz, r-oldrel (arm64): RAMClustR_1.3.1.tgz, r-prerel (x86_64): RAMClustR_1.3.1.tgz, r-release (x86_64): RAMClustR_1.3.1.tgz
Old sources: RAMClustR archive


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