- recipe bioconductor-scry
Small-Count Analysis Methods for High-Dimensional Data
- Homepage:
- License:
Artistic-2.0
- Recipe:
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:
1.6.0-0
,1.4.0-0
,1.2.0-1
,1.2.0-0
,1.0.0-0
- Depends:
bioconductor-biocsingular
>=1.10.0,<1.11.0
bioconductor-delayedarray
>=0.20.0,<0.21.0
bioconductor-hdf5array
>=1.22.0,<1.23.0
bioconductor-singlecellexperiment
>=1.16.0,<1.17.0
bioconductor-summarizedexperiment
>=1.24.0,<1.25.0
r-base
>=4.1,<4.2.0a0
r-glmpca
>=0.2.0
- 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¶
Render an badge with the following MarkDown:
[](http://bioconda.github.io/recipes/bioconductor-scry/README.html)