recipe r-music

Companion package to: A bulk tissue deconvolution method with multi-subject single cell expression reference. This package provide functions to estimate bulk tissue cell type proportions with multi-subject single cell expression as reference.

Homepage:

https://github.com/xuranw/MuSiC

License:

GPL / GPL-3

Recipe:

/r-music/meta.yaml

Links:

doi: 10.1038/s41467-018-08023-x

package r-music

(downloads) docker_r-music

versions:

0.2.0-3,  0.2.0-2,  0.2.0-1,  0.2.0-0

depends bioconductor-biobase:

depends r-base:

>=4.4,<4.5.0a0

depends r-ggplot2:

depends r-mcmcpack:

depends r-nnls:

depends r-plyr:

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 r-music

and update with::

   mamba update r-music

To create a new environment, run:

mamba create --name myenvname r-music

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/r-music:<tag>

(see `r-music/tags`_ for valid values for ``<tag>``)

Download stats

Link to this page

Render an install-with-bioconda badge with the following MarkDown:

[![install with bioconda](https://img.shields.io/badge/install%20with-bioconda-brightgreen.svg?style=flat)](http://bioconda.github.io/recipes/r-music/README.html)