recipe scrublet

Doublet prediction in single-cell RNA-sequencing data

Homepage:

https://github.com/allonkleinlab/scrublet

License:

MIT / MIT License

Recipe:

/scrublet/meta.yaml

package scrublet

versions:

0.2.3-1,  0.2.3-0,  0.2.1-4,  0.2.1-3,  0.2.1-2,  0.2.1-1,  0.2.1-0

depends matplotlib-base:

depends numba:

depends numpy:

depends pandas:

depends python:

depends python-annoy:

depends scikit-image:

depends scikit-learn:

depends scipy:

depends umap-learn:

requirements:

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 scrublet

and update with::

   mamba update scrublet

To create a new environment, run:

mamba create --name myenvname scrublet

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/scrublet:<tag>

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

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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/scrublet/README.html)