The hardware and bandwidth for this mirror is donated by METANET, the Webhosting and Full Service-Cloud Provider.
If you wish to report a bug, or if you are interested in having us mirror your free-software or open-source project, please feel free to contact us at mirror[@]metanet.ch.

MSclassifR: Automated Classification of Mass Spectra

Functions to classify mass spectra in known categories, and to determine discriminant mass-over-charge values. It includes easy-to-use functions for pre-processing mass spectra, functions to determine discriminant mass-over-charge values (m/z) from a library of mass spectra corresponding to different categories, and functions to predict the category (species, phenotypes, etc.) associated to a mass spectrum from a list of selected mass-over-charge values. Three vignettes illustrating how to use the functions of this package from real data sets are also available online to help users: <https://agodmer.github.io/MSclassifR_examples/Vignettes/Vignettemsclassifr_Ecrobiav3.html>, <https://agodmer.github.io/MSclassifR_examples/Vignettes/Vignettemsclassifr_Klebsiellav3.html> and <https://agodmer.github.io/MSclassifR_examples/Vignettes/Vignettemsclassifr_DAv3.html>.

Version: 0.3.3
Depends: R (≥ 4.0), cp4p, caret, statmod, MALDIquant, MALDIrppa
Imports: e1071, MALDIquantForeign, mixOmics, reshape2, ggplot2, nnet, dplyr, fuzzyjoin, VSURF, metap, xgboost, glmnet, performanceEstimation, mltools, mclust, UBL, stats, limma, car, vita, randomForest
Suggests: knitr, rmarkdown
Published: 2023-08-09
DOI: 10.32614/CRAN.package.MSclassifR
Author: Alexandre Godmer [aut, cre], Quentin Giai Gianetto [aut], Karen Druart [aut]
Maintainer: Alexandre Godmer <alexandre.godmer at aphp.fr>
License: GPL (≥ 3)
URL: https://github.com/agodmer/MSclassifR_examples
NeedsCompilation: yes
CRAN checks: MSclassifR results

Documentation:

Reference manual: MSclassifR.pdf

Downloads:

Package source: MSclassifR_0.3.3.tar.gz
Windows binaries: r-devel: MSclassifR_0.3.3.zip, r-release: MSclassifR_0.3.3.zip, r-oldrel: MSclassifR_0.3.3.zip
macOS binaries: r-release (arm64): MSclassifR_0.3.3.tgz, r-oldrel (arm64): MSclassifR_0.3.3.tgz, r-release (x86_64): MSclassifR_0.3.3.tgz, r-oldrel (x86_64): MSclassifR_0.3.3.tgz
Old sources: MSclassifR archive

Linking:

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

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.