- recipe bioconductor-plgem
Detect differential expression in microarray and proteomics datasets with the Power Law Global Error Model (PLGEM)
- Homepage
- License
GPL-2
- Recipe
- Links
biotools: 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.
- package bioconductor-plgem¶
-
- Versions
1.66.0-0
,1.64.0-0
,1.62.0-1
,1.62.0-0
,1.60.0-0
,1.58.0-0
,1.56.0-1
,1.54.1-0
,1.54.0-0
,1.66.0-0
,1.64.0-0
,1.62.0-1
,1.62.0-0
,1.60.0-0
,1.58.0-0
,1.56.0-1
,1.54.1-0
,1.54.0-0
,1.52.0-0
,1.50.0-0
,1.48.0-0
- Depends
bioconductor-biobase
>=2.54.0,<2.55.0
r-base
>=4.1,<4.2.0a0
- Required By
Installation
With an activated Bioconda channel (see 2. Set up channels), install with:
conda install bioconductor-plgem
and update with:
conda update bioconductor-plgem
or use the docker container:
docker pull quay.io/biocontainers/bioconductor-plgem:<tag>
(see bioconductor-plgem/tags for valid values for
<tag>
)
Download stats¶
Link to this page¶
Render an badge with the following MarkDown:
[](http://bioconda.github.io/recipes/bioconductor-plgem/README.html)