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 |