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msmsTests : LC-MS/MS Differential Expression Tests

Package: msmsTests
Type: Package
Title: LC-MS/MS Differential Expression Tests
Version: 1.10.0
Date: 2013-10-02
Author: Josep Gregori, Alex Sanchez, and Josep Villanueva
Maintainer: Josep Gregori i Font <josep.gregori@gmail.com>
Depends: R (>= 3.0.1), MSnbase, msmsEDA
Imports: edgeR, qvalue
Description: 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.
License: GPL-2
biocViews: Software, MassSpectrometry, Proteomics
NeedsCompilation: no
Packaged: 2016-05-04 05:02:35 UTC; biocbuild

● Data Source: BioConductor
● BiocViews: MassSpectrometry, Proteomics, Software
1 images, 7 functions, 1 datasets
● Reverse Depends: 0