msmsEDA
Exploratory Data Analysis of LC-MS/MS data by spectral counts
Bioconductor version: Release (3.20)
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 (version "4.4") and enter:
if (!require("BiocManager", quietly = TRUE))
install.packages("BiocManager")
BiocManager::install("msmsEDA")
For older versions of R, please refer to the appropriate Bioconductor release.
Documentation
To view documentation for the version of this package installed in your system, start R and enter:
browseVignettes("msmsEDA")| msmsEDA: Batch effects detection in LC-MSMS experiments | R Script | |
| Reference Manual |
Details
| biocViews | ImmunoOncology, MassSpectrometry, Proteomics, Software |
| Version | 1.44.0 |
| In Bioconductor since | BioC 2.13 (R-3.0) (11 years) |
| License | GPL-2 |
| Depends | R (>= 3.0.1), MSnbase |
| Imports | MASS, gplots, RColorBrewer |
| System Requirements | |
| URL |
See More
| Suggests | |
| Linking To | |
| Enhances | |
| Depends On Me | msmsTests |
| Imports Me | |
| Suggests Me | Harman, RforProteomics |
| Links To Me | |
| Build Report | Build Report |
Package Archives
Follow Installation instructions to use this package in your R session.
| Source Package | msmsEDA_1.44.0.tar.gz |
| Windows Binary (x86_64) | |
| macOS Binary (x86_64) | |
| macOS Binary (arm64) | msmsEDA_1.43.0.tgz |
| Source Repository | git clone https://git.bioconductor.org/packages/msmsEDA |
| Source Repository (Developer Access) | git clone git@git.bioconductor.org:packages/msmsEDA |
| Bioc Package Browser | https://code.bioconductor.org/browse/msmsEDA/ |
| Package Short Url | https://bioconductor.org/packages/msmsEDA/ |
| Package Downloads Report | Download Stats |