A feature clustering algorithm for non-targeted mass spectrometric metabolomics data. This method is compatible with GC-MS, LC-MS, and LC-MS data using indiscriminant MS/MS (MSe, MSall, etc) data.
| Version: | 1.0.0 |
| Imports: | dynamicTreeCut, fastcluster, ff, InterpretMSSpectrum, BiocManager, httr, jsonlite, preprocessCore, xcms, e1071, gplots, pcaMethods, stringr, xml2 |
| Suggests: | knitr, rmarkdown |
| Published: | 2019-01-18 |
| Author: | Corey D. Broeckling, Fayyaz Afsar, Steffan Neumann, Asa Ben-Hur, Jessica Prenni. |
| Maintainer: | "Broeckling,Corey" <Corey.Broeckling at ColoState.EDU> |
| License: | GPL-2 | GPL-3 [expanded from: GPL (≥ 2)] |
| URL: | https://github.com/cbroeckl/RAMClustR |
| NeedsCompilation: | no |
| Citation: | RAMClustR citation info |
| Materials: | README ChangeLog |
| CRAN checks: | RAMClustR results |
| Reference manual: | RAMClustR.pdf |
| Vignettes: |
RAMClustR: post-XCMS Feature Clustering |
| Package source: | RAMClustR_1.0.0.tar.gz |
| Windows binaries: | r-devel: not available, r-release: not available, r-oldrel: not available |
| OS X binaries: | r-release: not available, r-oldrel: not available |
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