recipe bioconductor-cancerdata

Development and validation of diagnostic tests from high-dimensional molecular data: Datasets

Homepage:

https://bioconductor.org/packages/3.18/data/experiment/html/cancerdata.html

License:

GPL (>= 2)

Recipe:

/bioconductor-cancerdata/meta.yaml

Dataset for the R package cancerclass

package bioconductor-cancerdata

versions:

1.40.0-0,  1.38.0-0,  1.36.0-0,  1.32.0-1,  1.32.0-0,  1.30.0-0,  1.28.0-1,  1.28.0-0,  1.26.0-0, 

1.40.0-0,  1.38.0-0,  1.36.0-0,  1.32.0-1,  1.32.0-0,  1.30.0-0,  1.28.0-1,  1.28.0-0,  1.26.0-0,  1.24.0-0,  1.22.0-1,  1.20.0-0

depends bioconductor-biobase:

>=2.62.0,<2.63.0

depends bioconductor-data-packages:

>=20231203

depends curl:

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-cancerdata

and update with::

   mamba update bioconductor-cancerdata

To create a new environment, run:

mamba create --name myenvname bioconductor-cancerdata

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-cancerdata:<tag>

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

Download stats

Link to this page

Render an 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-cancerdata/README.html)