bioconductor-plgem¶
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.
| Home | http://bioconductor.org/packages/3.6/bioc/html/plgem.html |
| Versions | 1.48.0, 1.50.0 |
| License | GPL-2 |
| Recipe | https://github.com/bioconda/bioconda-recipes/tree/master/recipes/bioconductor-plgem |
| Links | biotools: plgem |
Installation¶
With an activated Bioconda channel (see 2. Set up channels), install with:
conda install bioconductor-plgem
and update with:
conda update bioconductor-plgem
A Docker container is available at https://quay.io/repository/biocontainers/bioconductor-plgem.
Link to this page¶
Render an 
badge with the following Markdown:
[](http://bioconda.github.io/recipes/bioconductor-plgem/README.html)
