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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 |
DOI: | 10.32614/CRAN.package.RAMClustR |
Author: | Corey D. Broeckling [aut], Fayyaz Afsar [aut], Steffen Neumann [aut], Asa Ben-Hur [aut], Jessica Prenni [aut], Helge Hecht [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-devel: RAMClustR_1.3.1.zip, r-release: RAMClustR_1.3.1.zip, r-oldrel: RAMClustR_1.3.1.zip |
macOS binaries: | r-release (arm64): RAMClustR_1.3.1.tgz, r-oldrel (arm64): RAMClustR_1.3.1.tgz, r-release (x86_64): RAMClustR_1.3.1.tgz, r-oldrel (x86_64): RAMClustR_1.3.1.tgz |
Old sources: | RAMClustR archive |
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These binaries (installable software) and packages are in development.
They may not be fully stable and should be used with caution. We make no claims about them.
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