Last data update: 2014.03.03

msmsTests

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

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

Install log

* installing to library '/home/ddbj/local/lib64/R/library'
* installing *source* package 'msmsTests' ...
** R
** data
** inst
** preparing package for lazy loading
** help
*** installing help indices
  converting help for package 'msmsTests'
    finding HTML links ... done
    msms.edgeR                              html  
    finding level-2 HTML links ... done

    msms.glm.pois                           html  
    msms.glm.qlll                           html  
    msms.spk                                html  
    msmsTests-package                       html  
    pval.by.fc                              html  
    res.volcanoplot                         html  
    test.results                            html  
** building package indices
** installing vignettes
** testing if installed package can be loaded
* DONE (msmsTests)
Making 'packages.html' ... done