recipe bioconductor-mcsurvdata

Meta cohort survival data

Homepage:

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

License:

GPL (>=2)

Recipe:

/bioconductor-mcsurvdata/meta.yaml

This package stores two merged expressionSet objects that contain the gene expression profile and clinical information of -a- six breast cancer cohorts and -b- four colorectal cancer cohorts. Breast cancer data are employed in the vignette of the hrunbiased package for survival analysis of gene signatures.

package bioconductor-mcsurvdata

(downloads) docker_bioconductor-mcsurvdata

versions:
1.20.0-01.18.0-01.16.0-01.12.0-11.12.0-01.10.0-01.8.0-11.8.0-01.6.0-0

1.20.0-01.18.0-01.16.0-01.12.0-11.12.0-01.10.0-01.8.0-11.8.0-01.6.0-01.4.0-01.2.0-11.0.0-11.0.0-0

depends bioconductor-annotationhub:

>=3.10.0,<3.11.0

depends bioconductor-biobase:

>=2.62.0,<2.63.0

depends bioconductor-data-packages:

>=20231203

depends bioconductor-experimenthub:

>=2.10.0,<2.11.0

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-mcsurvdata

and update with::

   mamba update bioconductor-mcsurvdata

To create a new environment, run:

mamba create --name myenvname bioconductor-mcsurvdata

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-mcsurvdata:<tag>

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

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