Cover of Bayesian inference for gene expression and proteomics

Bayesian inference for gene expression and proteomics

by Marina Vannucci, Peter Müller, Kim-Anh Do

2006 437 pages eng

Discusses the development and application of Bayesian methods in the analysis of high-throughput bioinformatics data, from medical research and molecular and structural biology. The Bayesian approach has the advantage that evidence can be easily and flexibly incorporated into statistical models. A b…

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