- recipe bioconductor-mbkmeans
Mini-batch K-means Clustering for Single-Cell RNA-seq
- Homepage
https://bioconductor.org/packages/3.14/bioc/html/mbkmeans.html
- License
MIT + file LICENSE
- Recipe
Implements the mini-batch k-means algorithm for large datasets, including support for on-disk data representation.
- package bioconductor-mbkmeans¶
-
- Versions
1.10.0-1
,1.10.0-0
,1.8.0-0
,1.6.1-0
,1.6.0-0
,1.4.0-0
,1.2.0-0
,1.0.0-1
- Depends
bioconductor-beachmat
>=2.10.0,<2.11.0
bioconductor-biocparallel
>=1.28.0,<1.29.0
bioconductor-delayedarray
>=0.20.0,<0.21.0
bioconductor-rhdf5lib
>=1.16.0,<1.17.0
bioconductor-s4vectors
>=0.32.0,<0.33.0
bioconductor-singlecellexperiment
>=1.16.0,<1.17.0
bioconductor-summarizedexperiment
>=1.24.0,<1.25.0
libblas
>=3.8.0,<4.0a0
libgcc-ng
>=10.3.0
liblapack
>=3.8.0,<4.0a0
libstdcxx-ng
>=10.3.0
r-base
>=4.1,<4.2.0a0
r-rcpparmadillo
>=0.7.2
- Required By
Installation
With an activated Bioconda channel (see 2. Set up channels), install with:
conda install bioconductor-mbkmeans
and update with:
conda update bioconductor-mbkmeans
or use the docker container:
docker pull quay.io/biocontainers/bioconductor-mbkmeans:<tag>
(see bioconductor-mbkmeans/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-mbkmeans/README.html)