- recipe bioconductor-deco
Decomposing Heterogeneous Cohorts using Omic Data Profiling
- Homepage
- License
GPL (>=3)
- Recipe
This package discovers differential features in hetero- and homogeneous omic data by a two-step method including subsampling LIMMA and NSCA. DECO reveals feature associations to hidden subclasses not exclusively related to higher deregulation levels.
- package bioconductor-deco¶
-
- Versions
1.10.0-0
,1.8.0-0
,1.6.0-1
,1.6.0-0
,1.4.0-0
,1.2.0-0
,1.0.0-1
- Depends
bioconductor-annotationdbi
>=1.56.0,<1.57.0
bioconductor-biobase
>=2.54.0,<2.55.0
bioconductor-biocparallel
>=1.28.0,<1.29.0
bioconductor-biocstyle
>=2.22.0,<2.23.0
bioconductor-limma
>=3.50.0,<3.51.0
bioconductor-made4
>=1.68.0,<1.69.0
bioconductor-summarizedexperiment
>=1.24.0,<1.25.0
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-deco
and update with:
conda update bioconductor-deco
or use the docker container:
docker pull quay.io/biocontainers/bioconductor-deco:<tag>
(see bioconductor-deco/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-deco/README.html)