recipe bioconductor-scry

Small-Count Analysis Methods for High-Dimensional Data

Homepage:

https://bioconductor.org/packages/3.16/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

Versions:

1.10.0-0,  1.6.0-0,  1.4.0-0,  1.2.0-1,  1.2.0-0,  1.0.0-0

Depends:

• bioconductor-biocsingular >=1.14.0,<1.15.0

• bioconductor-delayedarray >=0.24.0,<0.25.0

• bioconductor-hdf5array >=1.26.0,<1.27.0

• bioconductor-singlecellexperiment >=1.20.0,<1.21.0

• bioconductor-summarizedexperiment >=1.28.0,<1.29.0

• r-base >=4.2,<4.3.0a0

• r-glmpca >=0.2.0

• r-matrix

Required By:

Installation

With an activated Bioconda channel (see 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>)

Download stats

Link to this page

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