Series |
Statistics for biology and health, 1431-8776 Statistics for biology and health. 1431-8776 ^A695739
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Contents |
Part 1. Foundations -- An Overview of Bayesian Inference and Graphical Models / Thomas Hamelryck -- Monte Carlo Methods for Inference in High-Dimensional Systems / Jesper Ferkinghoff-Borg -- Part 2. Energy Functions for Protein Structure Prediction -- On the Physical Relevance and Statistical Interpretation of Knowledge-Based Potentials / Mikael Borg, Thomas Hamelryck and Jesper Ferkinghoff-Borg -- Towards a General Probabilistic Model of Protein Structure: The Reference Ratio Method / Jes Frellsen, Kanti V. Mardia, Mikael Borg, Jesper Ferkinghoff-Borg and Thomas Hamelryck -- Inferring Knowledge Based Potentials Using Contrastive Divergence / Alexei A. Podtelezhnikov and David L. Wild -- Part 3. Directional statistics for biomolecular structure -- Statistics of Bivariate von Mises Distributions / Kanti V. Mardia and Jes Frellsen -- Statistical Modelling and Simulation Using the Fisher-Bingham Distribution / John T. Kent -- Part 4. Shape Theory for Protein Structure Superposition -- Likelihood and Empirical Bayes Superposition of Multiple Macromolecular Structures / Douglas L. Theobald -- Bayesian Hierarchical Alignment Methods / Kanti V. Mardia and Vysaul B. Nyirongo -- Part 5. Graphical models for structure prediction -- Probabilistic Models of Local Biomolecular Structure and Their Applications / Wouter Boomsma, Jes Frellsen and Thomas Hamelryck -- Prediction of Low Energy Protein Side Chain Configurations Using Markov Random Fields / Chen Yanover and Menachem Fromer -- Part 6. Inferring Structure from Experimental Data -- Inferential Structure Determination from NMR Data / Michael Habeck -- Bayesian Methods in SAXS and SANS Structure Determination / Steen Hansen. |
Bibliography note | Includes bibliographical references (p. 343-376) and index. |
Access restriction | Available only to authorized users. |
Technical details | Mode of access: World Wide Web |
Genre/form | Electronic books. |
LCCN | 2012933773 |
ISBN | 9783642272240 (alk. paper) |
ISBN | 364227224X (alk. paper) |
ISBN | 9783642272257 (e-ISBN) |
ISBN | 3642272258 (e-ISBN) |