- recipe bioconductor-scalign
An alignment and integration method for single cell genomics
- Homepage:
https://bioconductor.org/packages/3.16/bioc/html/scAlign.html
- License:
GPL-3
- Recipe:
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:
1.11.0-0
,1.8.0-0
,1.6.0-0
,1.3.0-1
,1.3.0-0
,1.0.0-1
- Depends:
bioconductor-singlecellexperiment
>=1.20.0,<1.21.0
python
<3.7
r-base
>=4.2,<4.3.0a0
r-seurat
>=2.3.4
- Required By:
Installation
With an activated Bioconda channel (see 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¶
Render an badge with the following MarkDown:
[](http://bioconda.github.io/recipes/bioconductor-scalign/README.html)