This book is an edited volume, the goal of which is to provide an overview of the current state-of-the-art in statistical methods applied to problems in structu

Bayesian Modeling in Bioinformatics discusses the development and application of Bayesian statistical methods for the analysis of high-throughput bioinformatics

This volume looks at the latest techniques used to perform comparative structure analyses, and predict and evaluate protein-ligand interactions. The chapters in

Expert overviews of Bayesian methodology, tools and software for multi-platform high-throughput experimentation.

The Bayesian network is one of the most important architectures for representing and reasoning with multivariate probability distributions. When used in conjunc