To install this package, start R and enter:

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

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

msmsEDA

DOI: 10.18129/B9.bioc.msmsEDA

Exploratory Data Analysis of LC-MS/MS data by spectral counts

Bioconductor version: Release (3.5)

Exploratory data analysis to assess the quality of a set of LC-MS/MS experiments, and visualize de influence of the involved factors.

Author: Josep Gregori, Alex Sanchez, and Josep Villanueva

Maintainer: Josep Gregori <josep.gregori at gmail.com>

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

Installation

To install this package, start R and enter:

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

Documentation

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

browseVignettes("msmsEDA")
PDF R Script msmsEDA: Batch effects detection in LC-MSMS experiments
PDF Reference Manual

Details

Version 1.14.0
In Bioconductor since BioC 2.13 (R-3.0) (4 years)
License GPL-2
Depends R (>= 3.0.1), MSnbase
LinkingTo
Suggests
SystemRequirements
Enhances
URL
Depends On Me msmsTests
Imports Me
Suggests Me Harman, RforProteomics

Package Archives

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

Source Package msmsEDA_1.14.0.tar.gz
Windows Binary msmsEDA_1.14.0.zip
Mac OS X 10.11 (El Capitan) msmsEDA_1.14.0.tgz
Source Repository git clone https://git.bioconductor.org/packages/msmsEDA
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