recipe drevalpy

Drug response evaluation of cancer drug response models in a fair setting

Homepage:

https://github.com/daisybio/drevalpy

Documentation:

https://drevalpy.readthedocs.io/en/latest/index.html

License:

MIT

Recipe:

/drevalpy/meta.yaml

Links:

https: :https:`//www.biorxiv.org/content/10.1101/2025.05.26.655288v1`

package drevalpy

(downloads) docker_drevalpy

versions:

1.4.0-0

depends curve-curator:

depends flaky:

depends importlib-resources:

depends matplotlib-base:

depends networkx:

depends numpy:

>=1.20

depends pandas:

depends plotly:

depends poetry:

>=2.0.1,<3.0.0

depends python:

>=3.11,<3.14

depends pytorch:

>=2.1

depends pytorch-lightning:

>=2.5

depends pyyaml:

depends ray:

depends requests:

depends scikit-learn:

>=1.4

depends scikit-posthocs:

depends scipy:

depends starlette:

>=0.49.1

depends toml:

>=0.10.2,<0.11.0

depends torch-geometric:

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 drevalpy

and update with::

   mamba update drevalpy

To create a new environment, run:

mamba create --name myenvname drevalpy

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/drevalpy:<tag>

(see `drevalpy/tags`_ for valid values for ``<tag>``)

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Link to this page

Render an install-with-bioconda badge with the following MarkDown:

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