stringr, crayon, xml2, magrittr, ropls, stats, reshape2,
ggplot2, ggfortify, plotly

stringr, crayon, xml2, stats, reshape2, ggplot2, ggfortify,
plotly

Automated Classification of Mass Spectra
c(
person("Alexandre", "Godmer", role=c("aut", "cre"), email="alexandre.godmer@aphp.fr"),
person("Quentin", "Giai Gianetto", role=c("aut"))
)
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.
e1071, MALDIquant, MALDIrppa, MALDIquantForeign, mixOmics,
caret, reshape2, ggplot2, nnet, dplyr, fuzzyjoin, VSURF, metap,
xgboost, glmnet,
Alexandre Godmer [aut, cre],
Quentin Giai Gianetto [aut]

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. Two 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_Ecrobia.html> and <https://agodmer.github.io/MSclassifR_examples/Vignettes/Vignettemsclassifr_Klebsiella.html>.

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>.
e1071, MALDIquant, MALDIrppa, MALDIquantForeign, mixOmics,
reshape2, ggplot2, nnet, dplyr, fuzzyjoin, VSURF, metap,
xgboost, glmnet, performanceEstimation, mltools, mclust, UBL,
stats, limma, car,