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Bayesian methods in structural bioinformatics

Author: Thomas Hamelryck; K V Mardia; Jesper Ferkinghoff-Borg
Publisher: Heidelberg : Springer, ©2012.
Series: Statistics for biology and health.
Edition/Format:   Print book : EnglishView all editions and formats
Database:WorldCat
Summary:

This edited volume is a high-profile overview of the current state of play in statistical methods applied to structural bioinformatics. With almost 100 pages of introductory material, it covers  Read more...

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Document Type: Book
All Authors / Contributors: Thomas Hamelryck; K V Mardia; Jesper Ferkinghoff-Borg
ISBN: 9783642272240 364227224X 9783642272257 3642272258
OCLC Number: 795366045
Description: xxii, 385 pages : illustrations.
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.
Series Title: Statistics for biology and health.
Responsibility: Thomas Hamelryck, Kanti Mardia, Jesper Ferkinghoff-Borg, editors.
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