Dissecting high-dimensional phenotypes with bayesian sparse factor analysis of genetic covariance matrices.

Abstract excerpt

Quantitative genetic studies that model complex, multivariate phenotypes are important for both evolutionary prediction and artificial selection. For example, changes in gene expression can provide insight into developmental and physiological mechanisms that link genotype and phenotype. However, classical analytical techniques are poorly suited to quantitative genetic studies of gene expression where the number...

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• Bayes Theorem
• Biological Evolution
• Drosophila melanogaster
• Gene Expression Regulation
• Models, Theoretical