- 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:
1.22.0-0,1.18.1-0,1.16.1-0,1.14.0-1,1.14.0-0,1.10.0-2,1.10.0-1,1.10.0-0,1.8.1-0,1.22.0-0,1.18.1-0,1.16.1-0,1.14.0-1,1.14.0-0,1.10.0-2,1.10.0-1,1.10.0-0,1.8.1-0,1.6.1-1,1.6.1-0,1.4.5-0,1.2.0-0,1.0.4-0- depends bioconductor-complexheatmap:
>=2.22.0,<2.23.0- depends bioconductor-complexheatmap:
>=2.22.0,<2.23.0a0- depends bioconductor-delayedarray:
>=0.32.0,<0.33.0- depends bioconductor-delayedarray:
>=0.32.0,<0.33.0a0- depends bioconductor-s4vectors:
>=0.44.0,<0.45.0- depends bioconductor-s4vectors:
>=0.44.0,<0.45.0a0- depends bioconductor-scater:
>=1.34.0,<1.35.0- depends bioconductor-scater:
>=1.34.0,<1.35.0a0- depends bioconductor-scran:
>=1.34.0,<1.35.0- depends bioconductor-scran:
>=1.34.0,<1.35.0a0- depends bioconductor-singlecellexperiment:
>=1.28.0,<1.29.0- depends bioconductor-singlecellexperiment:
>=1.28.0,<1.29.0a0- depends bioconductor-summarizedexperiment:
>=1.36.0,<1.37.0- depends bioconductor-summarizedexperiment:
>=1.36.0,<1.37.0a0- depends libblas:
>=3.9.0,<4.0a0- depends libcxx:
>=18- depends liblapack:
>=3.9.0,<4.0a0- depends r-base:
>=4.4,<4.5.0a0- depends r-circlize:
- depends r-data.table:
- depends r-dbscan:
- depends r-digest:
- depends r-doparallel:
- depends r-enrichr:
- depends r-foreach:
- depends r-ggplot2:
- depends r-ggrepel:
- depends r-gridextra:
- depends r-gtable:
- depends r-matrix:
- depends r-matrixstats:
- depends r-mcmcprecision:
- depends r-plyr:
- depends r-rcolorbrewer:
- depends r-rcpp:
- depends r-rcppeigen:
- depends r-reshape2:
- depends r-rtsne:
- depends r-scales:
- depends r-stringr:
- depends r-uwot:
- depends r-withr:
- requirements:
- additional platforms:
Installation
You need a conda-compatible package manager (currently either micromamba, mamba, or conda) and the Bioconda channel already activated (see set-up-channels).
While any of above package managers is fine, it is currently recommended to use either micromamba or mamba (see here for installation instructions). We will show all commands using mamba below, but the arguments are the same for the two others.
Given that you already have a conda environment in which you want to have this package, install with:
mamba install bioconductor-celda and update with:: mamba update bioconductor-celda
To create a new environment, run:
mamba create --name myenvname bioconductor-celda
with
myenvnamebeing a reasonable name for the environment (see e.g. the mamba docs for details and further options).Alternatively, 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)
