This is the development version of msmsTests; for the stable release version, see msmsTests.
LC-MS/MS Differential Expression TestsBioconductor version: Development (3.22)
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, entercitation("msmsTests")
): Installation
To install this package, start R (version "4.5") and enter:
if (!require("BiocManager", quietly = TRUE))
install.packages("BiocManager")
# The following initializes usage of Bioc devel
BiocManager::install(version='devel')
BiocManager::install("msmsTests")
For older versions of R, please refer to the appropriate Bioconductor release.
DocumentationTo view documentation for the version of this package installed in your system, start R and enter:
browseVignettes("msmsTests")
msmsTests: controlling batch effects by blocking PDF R Script msmsTests: post test filters to improve reproducibility PDF R Script Reference Manual PDF Details See More Package Archives
Follow Installation instructions to use this package in your R session.
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