recipe bioconductor-survtype

Subtype Identification with Survival Data






Subtypes are defined as groups of samples that have distinct molecular and clinical features. Genomic data can be analyzed for discovering patient subtypes, associated with clinical data, especially for survival information. This package is aimed to identify subtypes that are both clinically relevant and biologically meaningful.

package bioconductor-survtype

(downloads) docker_bioconductor-survtype



depends bioconductor-summarizedexperiment:


depends r-base:


depends r-clustvarsel:

depends r-pheatmap:

depends r-survival:

depends r-survminer:



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-survtype

and update with::

   mamba update bioconductor-survtype

To create a new environment, run:

mamba create --name myenvname bioconductor-survtype

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<tag>

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

Download stats