recipe bioconductor-spatialsimgp

Simulate Spatial Transcriptomics Data with the Mean-variance Relationship

Homepage:

https://bioconductor.org/packages/3.20/bioc/html/spatialSimGP.html

License:

MIT + file LICENSE

Recipe:

/bioconductor-spatialsimgp/meta.yaml

This packages simulates spatial transcriptomics data with the mean- variance relationship using a Gaussian Process model per gene.

package bioconductor-spatialsimgp

(downloads) docker_bioconductor-spatialsimgp

versions:

1.0.0-0

depends bioconductor-spatialexperiment:

>=1.16.0,<1.17.0

depends bioconductor-summarizedexperiment:

>=1.36.0,<1.37.0

depends r-base:

>=4.4,<4.5.0a0

depends r-mass:

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-spatialsimgp

and update with::

   mamba update bioconductor-spatialsimgp

To create a new environment, run:

mamba create --name myenvname bioconductor-spatialsimgp

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-spatialsimgp:<tag>

(see `bioconductor-spatialsimgp/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/bioconductor-spatialsimgp/README.html)