bioconductor-metacca

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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.

Home http://bioconductor.org/packages/3.6/bioc/html/metaCCA.html
Versions 1.4.0, 1.6.0
License MIT + file LICENSE
Recipe https://github.com/bioconda/bioconda-recipes/tree/master/recipes/bioconductor-metacca

Installation

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

conda install bioconductor-metacca

and update with:

conda update bioconductor-metacca

docker

A Docker container is available at https://quay.io/repository/biocontainers/bioconductor-metacca.