recipe arboreto

Scalable gene regulatory network inference using tree-based ensemble regressors



BSD / BSD 3-Clause License



package arboreto

(downloads) docker_arboreto



depends dask:

depends distributed:

depends numpy:

depends pandas:

depends python:

depends scikit-learn:

depends scipy:



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 arboreto

and update with::

   mamba update arboreto

To create a new environment, run:

mamba create --name myenvname arboreto

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 `arboreto/tags`_ for valid values for ``<tag>``)

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