recipe bioconductor-pcamethods

Provides Bayesian PCA, Probabilistic PCA, Nipals PCA, Inverse Non-Linear PCA and the conventional SVD PCA. A cluster based method for missing value estimation is included for comparison. BPCA, PPCA and NipalsPCA may be used to perform PCA on incomplete data as well as for accurate missing value estimation. A set of methods for printing and plotting the results is also provided. All PCA methods make use of the same data structure (pcaRes) to provide a common interface to the PCA results. Initiated at the Max-Planck Institute for Molecular Plant Physiology, Golm, Germany.

Homepage

https://bioconductor.org/packages/3.9/bioc/html/pcaMethods.html

License

GPL (>= 3)

Recipe

/bioconductor-pcamethods/meta.yaml

Links

biotools: pcamethods, doi: 10.1093/bioinformatics/btm069

package bioconductor-pcamethods

(downloads) docker_bioconductor-pcamethods

Versions

1.76.0-1, 1.74.0-0, 1.72.0-0, 1.70.0-0, 1.68.0-0, 1.64.0-2, 1.64.0-1, 1.64.0-0

Depends
Required By

Installation

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

conda install bioconductor-pcamethods

and update with:

conda update bioconductor-pcamethods

or use the docker container:

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

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