recipe bioconductor-scry

Small-Count Analysis Methods for High-Dimensional Data

Homepage

https://bioconductor.org/packages/3.11/bioc/html/scry.html

License

Artistic-2.0

Recipe

/bioconductor-scry/meta.yaml

Many modern biological datasets consist of small counts that are not well fit by standard linear-Gaussian methods such as principal component analysis. This package provides implementations of count-based feature selection and dimension reduction algorithms. These methods can be used to facilitate unsupervised analysis of any high-dimensional data such as single-cell RNA-seq.

package bioconductor-scry

(downloads) docker_bioconductor-scry

Versions

1.0.0-0

Depends
Required By

Installation

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

conda install bioconductor-scry

and update with:

conda update bioconductor-scry

or use the docker container:

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

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