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Bioconductor - metaCCA (development version)

metaCCA

This is the development version of metaCCA; for the stable release version, see metaCCA.

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

Bioconductor version: Development (3.22)

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.

Author: Anna Cichonska <anna.cichonska at gmail.com>

Maintainer: Anna Cichonska <anna.cichonska at gmail.com>

Citation (from within R, enter citation("metaCCA")): Installation

To install this package, start R (version "4.5") and enter:


if (!require("BiocManager", quietly = TRUE))
    install.packages("BiocManager")

# The following initializes usage of Bioc devel
BiocManager::install(version='devel')

BiocManager::install("metaCCA")

For older versions of R, please refer to the appropriate Bioconductor release.

Documentation

To view documentation for the version of this package installed in your system, start R and enter:

browseVignettes("metaCCA")
Details See More Suggests knitr Linking To Enhances Depends On Me Imports Me Suggests Me Links To Me Build Report Build Report Package Archives

Follow Installation instructions to use this package in your R session.

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