S_XY_full_study1

Data frame containing univariate summary statistics (regression coefficients and
standard errors) of study 1 for 1000 SNPs and 10 traits. It will be used for
estimating phenotypic correlation structure <code>S_YY</code> of study 1.

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

S_XY_full_study1: Univariate summary statistics of 10 traits across 1000 SNPs (study 1).

Description

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