plgem

Package: plgem
Title: Detect differential expression in microarray and proteomics
datasets with the Power Law Global Error Model (PLGEM)
Version: 1.44.0
Author: Mattia Pelizzola <mattia.pelizzola@gmail.com> and Norman
Pavelka <normanpavelka@gmail.com>
Description: The Power Law Global Error Model (PLGEM) has been shown to faithfully model
the variance-versus-mean dependence that exists in a variety of genome-wide
datasets, including microarray and proteomics data. The use of PLGEM has been
shown to improve the detection of differentially expressed genes or proteins in
these datasets.
Maintainer: Norman Pavelka <normanpavelka@gmail.com>
Imports: utils, Biobase (>= 2.5.5), MASS
Depends: R (>= 2.10)
License: GPL-2
URL: http://www.genopolis.it
biocViews: Microarray, DifferentialExpression, Proteomics,
GeneExpression, MassSpectrometry
NeedsCompilation: no
Packaged: 2016-05-04 02:44:33 UTC; biocbuild

Install log

* installing to library '/home/ddbj/local/lib64/R/library'
* installing *source* package 'plgem' ...
** R
** data
** inst
** preparing package for lazy loading
** help
*** installing help indices
  converting help for package 'plgem'
    finding HTML links ... done
    LPSeset                                 html  
    plgem.deg                               html  
    plgem.fit                               html  
    plgem.obsStn                            html  
    plgem.pValue                            html  
    plgem.resampledStn                      html  
    plgem.write.summary                     html  
    run.plgem                               html  
    setGpar                                 html  
** building package indices
** installing vignettes
** testing if installed package can be loaded
* DONE (plgem)
Making 'packages.html' ... done