Bayesian Methods in Structural Bioinformatics

1. An Overview of Bayesian Inference and Graphical Models
Thomas Hamelryck

2. Monte Carlo Methods for Inference in High-Dimensional Systems
Jesper Ferkinghoff-Borg

3. On the Physical Relevance and Statistical Interpretation of Knowledge-Based Potentials
Mikael Borg, Thomas Hamelryck, Jesper Ferkinghoff-Borg

4. Towards a General Probabilistic Model of Protein Structure: The Reference Ratio Method
Jes Frellsen, Kanti V. Mardia, Mikael Borg, Jesper Ferkinghoff-Borg, Thomas Hamelryck

5. Inferring Knowledge Based Potentials Using Contrastive Divergence
Alexei A. Podtelezhnikov, David L. Wild

6. Statistics of Bivariate von Mises Distributions
Kanti V. Mardia, Jes Frellsen

7. Statistical Modelling and Simulation Using the Fisher-Bingham Distribution
John T. Kent

8. Likelihood and Empirical Bayes Superposition of Multiple Macromolecular Structures
Douglas L. Theobald

9. Bayesian Hierarchical Alignment Methods
Kanti V. Mardia, Vysaul B. Nyirongo

10. Probabilistic Models of Local Biomolecular Structure and Their Applications
Wouter Boomsma, Jes Frellsen, Thomas Hamelryck

11. Prediction of Low Energy Protein Side Chain Configurations Using Markov Random Fields
Chen Yanover, Menachem Fromer

12. Inferential Structure Determination from NMR Data
Michael Habeck

13. Bayesian Methods in SAXS and SANS Structure Determination
Steen Hansen

Keywords: Statistics, Statistics for Life Sciences, Medicine, Health Sciences, Molecular Medicine, Biophysics and Biological Physics, Mathematical and Computational Biology, Computational Biology/Bioinformatics