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This title discusses the development and application of Bayesian statistical methods for the analysis of high-throughput bioinformatics data arising from problems in molecular and structural biology and disease-related medical research, such as cancer. It presents a broad overview of statistical inference, clustering and classification problems in two main high-throughput platforms: microarray gene expression and phylogenic analysis.
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