recipe harmony-pytorch

This is a Pytorch implementation of Harmony algorithm on single-cell sequencing data integration.

Homepage:

https://github.com/lilab-bcb/harmony-pytorch

License:

BSD / BSD-3-Clause

Recipe:

/harmony-pytorch/meta.yaml

Links:

doi: 10.1038/s41592-019-0619-0

package harmony-pytorch

(downloads) docker_harmony-pytorch

versions:

0.1.8-0,  0.1.7-1,  0.1.7-0,  0.1.6-0,  0.1.5-0

depends numpy:

depends pandas:

depends psutil:

depends python:

>=3.7

depends pytorch:

depends scikit-learn:

>=0.23

depends threadpoolctl:

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 harmony-pytorch

and update with::

   mamba update harmony-pytorch

To create a new environment, run:

mamba create --name myenvname harmony-pytorch

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/harmony-pytorch:<tag>

(see `harmony-pytorch/tags`_ for valid values for ``<tag>``)

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Link to this page

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