- recipe bioconductor-celda
CEllular Latent Dirichlet Allocation
- Homepage
- License
MIT + file LICENSE
- Recipe
Celda is a suite of Bayesian hierarchical models for clustering single-cell RNA-sequencing (scRNA-seq) data. It is able to perform "bi-clustering" and simultaneously cluster genes into gene modules and cells into cell subpopulations. It also contains DecontX, a novel Bayesian method to computationally estimate and remove RNA contamination in individual cells without empty droplet information. A variety of scRNA-seq data visualization functions is also included.
- package bioconductor-celda¶
-
- Versions
1.10.0-1
,1.10.0-0
,1.8.1-0
,1.6.1-1
,1.6.1-0
,1.4.5-0
,1.2.0-0
,1.0.4-0
- Depends
bioconductor-complexheatmap
>=2.10.0,<2.11.0
bioconductor-delayedarray
>=0.20.0,<0.21.0
bioconductor-s4vectors
>=0.32.0,<0.33.0
bioconductor-scater
>=1.22.0,<1.23.0
bioconductor-scran
>=1.22.0,<1.23.0
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
- Required By
Installation
With an activated Bioconda channel (see 2. Set up channels), install with:
conda install bioconductor-celda
and update with:
conda update bioconductor-celda
or use the docker container:
docker pull quay.io/biocontainers/bioconductor-celda:<tag>
(see bioconductor-celda/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-celda/README.html)