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>.

Getting started

Package details

AuthorAlexandre Godmer [aut, cre], Quentin Giai Gianetto [aut], Karen Druart [aut]
MaintainerAlexandre Godmer <alexandre.godmer@aphp.fr>
LicenseGPL (>= 3)
Version0.3.3
URL https://github.com/agodmer/MSclassifR_examples
Package repositoryView on CRAN
Installation Install the latest version of this package by entering the following in R:
install.packages("MSclassifR")

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MSclassifR documentation built on Aug. 9, 2023, 9:08 a.m.