RAMClustR: RAMClust: A Novel Feature Clustering Method Enables Spectral-Matching Based Annotation for Metabolomics Data

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


Please use the canonical form https://CRAN.R-project.org/package=RAMClustR to link to this page.