recipe renet2

RENET2: High-Performance Full-text Gene-Disease Relation Extraction with Iterative Training Data Expansion

Homepage:

https://github.com/sujunhao/RENET2

License:

BSD / BSD-3-Clause

Recipe:

/renet2/meta.yaml

package renet2

(downloads) docker_renet2

versions:

1.2-0

depends cudatoolkit:

10.0.*

depends numpy:

1.18.1.*

depends pandas:

1.0.1.*

depends python:

>=3.7

depends pytorch:

1.2.0

depends ruby:

depends scikit-learn:

0.22.2.post1.*

depends tqdm:

4.42.1.*

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 renet2

and update with::

   mamba update renet2

To create a new environment, run:

mamba create --name myenvname renet2

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/renet2:<tag>

(see `renet2/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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