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
 [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 |