recipe bioconductor-cellmapper

Predict genes expressed selectively in specific cell types

Homepage:

https://bioconductor.org/packages/3.18/bioc/html/CellMapper.html

License:

Artistic-2.0

Recipe:

/bioconductor-cellmapper/meta.yaml

Links:

biotools: cellmapper

Infers cell type-specific expression based on co-expression similarity with known cell type marker genes. Can make accurate predictions using publicly available expression data, even when a cell type has not been isolated before.

package bioconductor-cellmapper

(downloads) docker_bioconductor-cellmapper

versions:
1.28.0-01.26.0-01.24.0-01.20.0-01.18.0-01.16.0-11.16.0-01.14.0-01.12.0-0

1.28.0-01.26.0-01.24.0-01.20.0-01.18.0-01.16.0-11.16.0-01.14.0-01.12.0-01.10.0-11.8.0-01.6.0-01.4.0-01.2.0-0

depends bioconductor-s4vectors:

>=0.40.0,<0.41.0

depends r-base:

>=4.3,<4.4.0a0

requirements:

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-cellmapper

and update with::

   mamba update bioconductor-cellmapper

To create a new environment, run:

mamba create --name myenvname bioconductor-cellmapper

with myenvname being 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-cellmapper:<tag>

(see `bioconductor-cellmapper/tags`_ for valid values for ``<tag>``)

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