recipe bioconductor-scalign

An unsupervised deep learning method for data alignment, integration and estimation of per-cell differences in -omic data (e.g. gene expression) across datasets (conditions, tissues, species). See Johansen and Quon (2019) <doi:10.1101/504944> for more details.

Homepage

https://bioconductor.org/packages/3.9/bioc/html/scAlign.html

License

GPL-3

Recipe

/bioconductor-scalign/meta.yaml

package bioconductor-scalign

Versions

1.0.0-1

Depends

• bioconductor-singlecellexperiment >=1.6.0,<1.7.0

• r-base >=3.6,<3.7.0a0

• r-fnn

• r-ggplot2

• r-irlba

• r-purrr

• r-rtsne

• r-seurat >=2.3.4

• r-tensorflow

Required By

Installation

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

conda install bioconductor-scalign

and update with:

conda update bioconductor-scalign

or use the docker container:

docker pull quay.io/biocontainers/bioconductor-scalign:<tag>

(see bioconductor-scalign/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/bioconductor-scalign/README.html)