-
recipe
bioconductor-scpca
Sparse Contrastive Principal Component Analysis
- Homepage
- License
MIT + file LICENSE
- Recipe
A toolbox for sparse contrastive principal component analysis (scPCA) of high-dimensional biological data. scPCA combines the stability and interpretability of sparse PCA with contrastive PCA's ability to disentangle biological signal from unwanted variation through the use of control data. Also implements and extends cPCA.
-
package
bioconductor-scpca
¶ -
- Versions
1.4.0-0
,1.2.0-0
,1.0.0-0
- Depends
bioconductor-biocparallel
>=1.24.0,<1.25.0
bioconductor-delayedarray
>=0.16.0,<0.17.0
r-base
>=4.0,<4.1.0a0
- Required By
Installation
With an activated Bioconda channel (see 2. Set up channels), install with:
conda install bioconductor-scpca
and update with:
conda update bioconductor-scpca
or use the docker container:
docker pull quay.io/biocontainers/bioconductor-scpca:<tag>
(see bioconductor-scpca/tags for valid values for
<tag>
)
Link to this page¶
Render an badge with the following MarkDown:
[](http://bioconda.github.io/recipes/bioconductor-scpca/README.html)