- 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:
1.13.0-0
,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
>=1.60.0,<1.61.0
bioconductor-biobase
>=2.58.0,<2.59.0
bioconductor-biocparallel
>=1.32.0,<1.33.0
bioconductor-biocstyle
>=2.26.0,<2.27.0
bioconductor-limma
>=3.54.0,<3.55.0
bioconductor-made4
>=1.72.0,<1.73.0
bioconductor-summarizedexperiment
>=1.28.0,<1.29.0
r-base
>=4.2,<4.3.0a0
- Required By:
Installation
With an activated Bioconda channel (see 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)