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Bioconductor version: 2.13
Statistical tests for label-free LC-MS/MS data by spectral counts, to discover differentially expressed proteins between two biological conditions. Three tests are available: Poisson GLM regression, quasi-likelihood GLM regression, and the negative binomial of the edgeR package.The three models admit blocking factors to control for nuissance variables.To assure a good level of reproducibility a post-test filter is available, where we may set the minimum effect size considered biologicaly relevant, and the minimum expression of the most abundant condition.
Author: Josep Gregori, Alex Sanchez, and Josep Villanueva
Maintainer: Josep Gregori i Font <josep.gregori at gmail.com>
Citation (from within R,
enter citation("msmsTests")
):
To install this package, start R and enter:
source("http://bioconductor.org/biocLite.R") biocLite("msmsTests")
To view documentation for the version of this package installed in your system, start R and enter:
browseVignettes("msmsTests")
R Script | msmsTests: controlling batch effects by blocking | |
R Script | msmsTests: post test filters to improve reproducibility | |
Reference Manual |
biocViews | MassSpectrometry, Proteomics, Software |
Version | 1.0.0 |
In Bioconductor since | BioC 2.13 (R-3.0) |
License | GPL-2 |
Depends | R (>= 3.0.1), MSnbase, msmsEDA |
Imports | edgeR, qvalue |
Suggests | |
System Requirements | |
URL | |
Depends On Me | |
Imports Me | |
Suggests Me |
Follow Installation instructions to use this package in your R session.
Package Source | msmsTests_1.0.0.tar.gz |
Windows Binary | msmsTests_1.0.0.zip (32- & 64-bit) |
Mac OS X 10.6 (Snow Leopard) | msmsTests_1.0.0.tgz |
Browse/checkout source | (username/password: readonly) |
Package Downloads Report | Download Stats |
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