Other packages > Find by keyword >

MSclassifR  

Automated Classification of Mass Spectra
View on CRAN: Click here


Download and install MSclassifR package within the R console
Install from CRAN:
install.packages("MSclassifR")

Install from Github:
library("remotes")
install_github("cran/MSclassifR")

Install by package version:
library("remotes")
install_version("MSclassifR", "0.5.0")



Attach the package and use:
library("MSclassifR")
Maintained by
Alexandre Godmer
[Scholar Profile | Author Map]
All associated links for this package
First Published: 2022-01-18
Latest Update: 2025-07-02
Description:
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: , and .
How to cite:
Alexandre Godmer (2022). MSclassifR: Automated Classification of Mass Spectra. R package version 0.5.0, https://cran.r-project.org/web/packages/MSclassifR. Accessed 05 Mar. 2026.
Previous versions and publish date:
0.1.0 (2022-01-18 09:12), 0.2.0 (2022-02-25 13:20), 0.3.0 (2022-08-13 16:10), 0.3.1 (2022-09-29 08:10), 0.3.2 (2023-03-28 18:50), 0.3.3 (2023-08-09 11:00), 0.4.0 (2025-07-02 18:20)
Other packages that cited MSclassifR R package
View MSclassifR citation profile
Other R packages that MSclassifR depends, imports, suggests or enhances
Complete documentation for MSclassifR
Downloads during the last 30 days

Today's Hot Picks in Authors and Packages

roccv  
ROC for Cross Validation Results
Cross validate large genetic data while specifying clinical variables that should always be in the m ...
Download / Learn more Package Citations See dependency  
imagefx  
Extract Features from Images
Synthesize images into characteristic features for time-series analysis or machine learning applicat ...
Download / Learn more Package Citations See dependency  
nextGenShinyApps  
Craft Exceptional 'R Shiny' Applications and Dashboards with Novel Responsive Tools
Nove responsive tools for designing and developing 'Shiny' dashboards and applications. The scripts ...
Download / Learn more Package Citations See dependency  
ClimClass  
Climate Classification According to Several Indices
Classification of climate according to Koeppen - Geiger, of aridity indices, of continentality indi ...
Download / Learn more Package Citations See dependency  
neat  
Efficient Network Enrichment Analysis Test
Includes functions and examples to compute NEAT, the Network Enrichment Analysis Test described in ...
Download / Learn more Package Citations See dependency  
pinp  
'pinp' is not 'PNAS'
A 'PNAS'-alike style for 'rmarkdown', derived from the 'Proceedings of the National Academy of Scie ...
Download / Learn more Package Citations See dependency  

26,264

R Packages

223,360

Dependencies

70,244

Author Associations

26,265

Publication Badges

© Copyright since 2022. All right reserved, rpkg.net.  Based in Cambridge, Massachusetts, USA