recipe bioconductor-xeva

Analysis of patient-derived xenograft (PDX) data






The Xeva package provides efficient and powerful functions for patient-drived xenograft (PDX) based pharmacogenomic data analysis. This package contains a set of functions to perform analysis of patient-derived xenograft data. This package was developed by the BHKLab, for further information please see our documentation.

package bioconductor-xeva

(downloads) docker_bioconductor-xeva



depends bioconductor-biobase:


depends bioconductor-complexheatmap:


depends bioconductor-pharmacogx:


depends r-base:


depends r-bbmisc:

depends r-doparallel:

depends r-downloader:

depends r-ggplot2:

depends r-nlme:

depends r-rmisc:

depends r-scales:



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-xeva

and update with::

   mamba update bioconductor-xeva

To create a new environment, run:

mamba create --name myenvname bioconductor-xeva

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-xeva/tags`_ for valid values for ``<tag>``)

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