recipe bioconductor-scalign

An alignment and integration method for single cell genomics

Homepage

https://bioconductor.org/packages/3.14/bioc/html/scAlign.html

License

GPL-3

Recipe

/bioconductor-scalign/meta.yaml

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.

package bioconductor-scalign

Versions

1.8.0-0,  1.6.0-0,  1.3.0-1,  1.3.0-0,  1.0.0-1

Depends

• bioconductor-singlecellexperiment >=1.16.0,<1.17.0

• python <3.7

• r-base >=4.1,<4.2.0a0

• 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>)

Download stats

Link to this page

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