recipe scvi

Single-cell Variational Inference

Homepage

https://github.com/YosefLab/scVI

Documentation

https://scvi.readthedocs.io

License

MIT / MIT License

Recipe

/scvi/meta.yaml

Single-cell Variational Inference

package scvi

Versions

0.4.1-1, 0.4.1-0, 0.3.0-1, 0.3.0-0, 0.2.4-0, 0.2.3-0, 0.2.2-0, 0.2.1-0, 0.2.0-0, 0.1.6-0, 0.1.5-0, 0.1.4-0, 0.1.3-0, 0.1.2-0

Depends

• anndata >=0.6

• colour >=0.1

• h5py >=2.9

• hyperopt >=0.1.2

• ipython >=7.5

• jupyter >=1.0.0

• leidenalg >=0.7.0

• loompy >=2.0.17

• matplotlib >=3.0

• mongodb >=4

• nbconvert >=5.5.0

• nbformat >=4.4.0

• numpy >=1.16

• pandas >=0.24

• python >=3.6

• python-igraph >=0.7.1

• scanpy >=1.4

• scikit-learn >=0.20

• scipy >=1.2

• seaborn >=0.9.0

• tqdm >=4

• umap-learn >=0.3.7

• xlrd >=1.2

Required By

Installation

With an activated Bioconda channel (see 2. Set up channels), install with:

conda install scvi

and update with:

conda update scvi

or use the docker container:

docker pull quay.io/biocontainers/scvi:<tag>

(see scvi/tags for valid values for <tag>)

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/scvi/README.html)