Bioconductor version: Release (3.6)
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")
):
To install this package, start R and enter:
## try http:// if https:// URLs are not supported source("https://bioconductor.org/biocLite.R") biocLite("msmsEDA")
To view documentation for the version of this package installed in your system, start R and enter:
browseVignettes("msmsEDA")
R Script | msmsEDA: Batch effects detection in LC-MSMS experiments | |
Reference Manual |
biocViews | MassSpectrometry, Proteomics, Software |
Version | 1.16.0 |
In Bioconductor since | BioC 2.13 (R-3.0) (4.5 years) |
License | GPL-2 |
Depends | R (>= 3.0.1), MSnbase |
Imports | MASS, gplots, RColorBrewer |
LinkingTo | |
Suggests | |
SystemRequirements | |
Enhances | |
URL | |
Depends On Me | msmsTests |
Imports Me | |
Suggests Me | Harman, RforProteomics |
Build Report |
Follow Installation instructions to use this package in your R session.
Source Package | msmsEDA_1.16.0.tar.gz |
Windows Binary | msmsEDA_1.16.0.zip |
Mac OS X 10.11 (El Capitan) | msmsEDA_1.16.0.tgz |
Source Repository | git clone https://git.bioconductor.org/packages/msmsEDA |
Package Short Url | http://bioconductor.org/packages/msmsEDA/ |
Package Downloads Report | Download Stats |
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