recipe scstem

A method for mapping single-cell and spatial transcriptomics data with transfer learning

Homepage:

https://github.com/WhirlFirst/STEM

License:

GPL3 / GPL-3.0-only

Recipe:

/scstem/meta.yaml

package scstem

versions:

0.0.2-0

depends python:

depends pytorch:

depends scanpy:

>=1.8.2

depends seaborn:

>=0.11.1

depends tqdm:

>=4.60.0

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 scstem

and update with::

   mamba update scstem

To create a new environment, run:

mamba create --name myenvname scstem

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/scstem:<tag>

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

Download stats

Link to this page

Render an badge with the following MarkDown:

[![install with bioconda](https://img.shields.io/badge/install%20with-bioconda-brightgreen.svg?style=flat)](http://bioconda.github.io/recipes/scstem/README.html)