recipe bioconductor-metacca

metaCCA performs multivariate analysis of a single or multiple GWAS based on univariate regression coefficients. It allows multivariate representation of both phenotype and genotype. metaCCA extends the statistical technique of canonical correlation analysis to the setting where original individual-level records are not available, and employs a covariance shrinkage algorithm to achieve robustness.

Homepage

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

License

MIT + file LICENSE

Recipe

/bioconductor-metacca/meta.yaml

Links

biotools: metacca

package bioconductor-metacca

(downloads) docker_bioconductor-metacca

Versions

1.12.0-1, 1.12.0-0, 1.10.0-0, 1.8.0-0, 1.6.0-0, 1.4.0-0

Depends
Required By

Installation

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

conda install bioconductor-metacca

and update with:

conda update bioconductor-metacca

or use the docker container:

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

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