datasets

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.

Anna Cichonska

metaCCA

N1: Number of individuals in study 1.

Description

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