recipe bioconductor-batchelor

Single-Cell Batch Correction Methods

Homepage:

https://bioconductor.org/packages/3.16/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:
1.14.0-01.10.0-21.10.0-11.10.0-01.8.0-01.6.2-01.6.0-01.4.0-01.2.1-0

1.14.0-01.10.0-21.10.0-11.10.0-01.8.0-01.6.2-01.6.0-01.4.0-01.2.1-01.0.1-0

Depends:
Required By:

Installation

With an activated Bioconda channel (see 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>)

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