recipe bioconductor-batchelor

Single-Cell Batch Correction Methods

Homepage

https://bioconductor.org/packages/3.12/bioc/html/batchelor.html

License

GPL-3

Recipe

/bioconductor-batchelor/meta.yaml

Implements a variety of methods for batch correction of single-cell (RNA sequencing) data. This includes methods based on detecting mutually nearest neighbors, as well as several efficient variants of linear regression of the log-expression values. Functions are also provided to perform global rescaling to remove differences in depth between batches, and to perform a principal components analysis that is robust to differences in the numbers of cells across batches.

package bioconductor-batchelor

(downloads) docker_bioconductor-batchelor

Versions

1.6.0-01.4.0-01.2.1-01.0.1-0

Depends
Required By

Installation

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

conda install bioconductor-batchelor

and update with:

conda update bioconductor-batchelor

or use the docker container:

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

(see bioconductor-batchelor/tags for valid values for <tag>)