To install this package, start R and enter:

## try http:// if https:// URLs are not supported
source("https://bioconductor.org/biocLite.R")
biocLite("MSstats")

In most cases, you don't need to download the package archive at all.

MSstats

Protein Significance Analysis in DDA, SRM and DIA for Label-free or Label-based Proteomics Experiments

Bioconductor version: Release (3.4)

A set of tools for statistical relative protein significance analysis in DDA, SRM and DIA experiments.

Author: Meena Choi [aut, cre], Cyril Galitzine [aut], Tsung-Heng Tsai [aut], Olga Vitek [aut]

Maintainer: Meena Choi <mnchoi67 at gmail.com>

Citation (from within R, enter citation("MSstats")):

To install this package, start R and enter:

## try http:// if https:// URLs are not supported
source("https://bioconductor.org/biocLite.R")
biocLite("MSstats")

To view documentation for the version of this package installed in your system, start R and enter:

browseVignettes("MSstats")

biocViews	Software
Version	3.6.0
In Bioconductor since	BioC 2.13 (R-3.0) (3.5 years)
License	Artistic-2.0
Depends	R (>= 3.2)
Imports	Rcpp, lme4, marray, limma, gplots, ggplot2, methods, grid, ggrepel, preprocessCore, data.table, MSnbase, reshape, reshape2, survival, minpack.lm, utils
LinkingTo
Suggests	knitr, rmarkdown
SystemRequirements
Enhances
URL	http://msstats.org
BugReports	https://groups.google.com/forum/#!forum/msstats
Depends On Me
Imports Me
Suggests Me
Build Report

Follow Installation instructions to use this package in your R session.

Package Source	MSstats_3.6.0.tar.gz
Windows Binary
Mac OS X 10.9 (Mavericks)	MSstats_3.6.0.tgz
Subversion source	(username/password: readonly)
Git source	https://github.com/Bioconductor-mirror/MSstats/tree/release-3.4
Package Short Url	http://bioconductor.org/packages/MSstats/
Package Downloads Report	Download Stats

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