This is the development version of MSstats; for the stable release version, see MSstats.
Protein Significance Analysis in DDA, SRM and DIA for Label-free or Label-based Proteomics ExperimentsBioconductor version: Development (3.22)
A set of tools for statistical relative protein significance analysis in DDA, SRM and DIA experiments.
Author: Meena Choi [aut, cre], Mateusz Staniak [aut], Devon Kohler [aut], Tony Wu [aut], Deril Raju [aut], Tsung-Heng Tsai [aut], Ting Huang [aut], Olga Vitek [aut]
Maintainer: Meena Choi <mnchoi67 at gmail.com>
Citation (from within R, entercitation("MSstats")
): Installation
To install this package, start R (version "4.5") and enter:
if (!require("BiocManager", quietly = TRUE))
install.packages("BiocManager")
# The following initializes usage of Bioc devel
BiocManager::install(version='devel')
BiocManager::install("MSstats")
For older versions of R, please refer to the appropriate Bioconductor release.
DocumentationTo view documentation for the version of this package installed in your system, start R and enter:
browseVignettes("MSstats")
Details biocViews ImmunoOncology, MassSpectrometry, Normalization, Proteomics, QualityControl, Software, TimeCourse Version 4.17.1 In Bioconductor since BioC 2.13 (R-3.0) (11.5 years) License Artistic-2.0 Depends R (>= 4.0) Imports MSstatsConvert, data.table, checkmate, MASS, htmltools, limma, lme4, preprocessCore, survival, utils, Rcpp, ggplot2, ggrepel, gplots, plotly, marray, stats, grDevices, graphics, methods, statmod, parallel System Requirements URL http://msstats.org Bug Reports https://groups.google.com/forum/#!forum/msstats See More Suggests BiocStyle, knitr, rmarkdown, tinytest, covr, markdown, mockery, kableExtra Linking To Rcpp, RcppArmadillo Enhances Depends On Me MSstatsBioNet Imports Me artMS, MSstatsBig, MSstatsLiP, MSstatsPTM, MSstatsShiny, MSstatsTMT Suggests Me Links To Me Build Report Build Report Package Archives
Follow Installation instructions to use this package in your R session.
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