recipe bioconductor-metacca

Summary Statistics-Based Multivariate Meta-Analysis of Genome-Wide Association Studies Using Canonical Correlation Analysis

Homepage:

https://bioconductor.org/packages/3.18/bioc/html/metaCCA.html

License:

MIT + file LICENSE

Recipe:

/bioconductor-metacca/meta.yaml

Links:

biotools: 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.

package bioconductor-metacca

(downloads) docker_bioconductor-metacca

versions:
1.30.0-01.28.0-01.26.0-01.22.0-01.20.0-01.18.0-11.18.0-01.16.0-01.14.0-0

1.30.0-01.28.0-01.26.0-01.22.0-01.20.0-01.18.0-11.18.0-01.16.0-01.14.0-01.12.0-11.12.0-01.10.0-01.8.0-01.6.0-01.4.0-0

depends r-base:

>=4.3,<4.4.0a0

requirements:

Installation

You need a conda-compatible package manager (currently either micromamba, mamba, or conda) and the Bioconda channel already activated (see set-up-channels).

While any of above package managers is fine, it is currently recommended to use either micromamba or mamba (see here for installation instructions). We will show all commands using mamba below, but the arguments are the same for the two others.

Given that you already have a conda environment in which you want to have this package, install with:

   mamba install bioconductor-metacca

and update with::

   mamba update bioconductor-metacca

To create a new environment, run:

mamba create --name myenvname bioconductor-metacca

with myenvname being a reasonable name for the environment (see e.g. the mamba docs for details and further options).

Alternatively, use the docker container:

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

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

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