-
recipe
bioconductor-mcbiclust
Massive correlating biclusters for gene expression data and associated methods
- Homepage
https://bioconductor.org/packages/3.12/bioc/html/MCbiclust.html
- License
GPL-2
- Recipe
Custom made algorithm and associated methods for finding, visualising and analysing biclusters in large gene expression data sets. Algorithm is based on with a supplied gene set of size n, finding the maximum strength correlation matrix containing m samples from the data set.
-
package
bioconductor-mcbiclust
¶ -
- Versions
1.14.0-0
,1.12.0-0
,1.10.0-0
,1.8.0-1
,1.6.0-0
- Depends
bioconductor-annotationdbi
>=1.52.0,<1.53.0
bioconductor-biocparallel
>=1.24.0,<1.25.0
bioconductor-go.db
>=3.12.1,<3.13.0
bioconductor-org.hs.eg.db
>=3.12.0,<3.13.0
r-base
>=4.0,<4.1.0a0
- Required By
Installation
With an activated Bioconda channel (see 2. Set up channels), install with:
conda install bioconductor-mcbiclust
and update with:
conda update bioconductor-mcbiclust
or use the docker container:
docker pull quay.io/biocontainers/bioconductor-mcbiclust:<tag>
(see bioconductor-mcbiclust/tags for valid values for
<tag>
)
Link to this page¶
Render an badge with the following MarkDown:
[](http://bioconda.github.io/recipes/bioconductor-mcbiclust/README.html)