Bayesian methods in structural bioinformatics

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October 5, 2021 | History

Bayesian methods in structural bioinformatics

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Publish Date
Publisher
Springer
Language
English
Pages
385

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Previews available in: English

Edition Availability
Cover of: Bayesian Methods in Structural Bioinformatics
Bayesian Methods in Structural Bioinformatics
Apr 13, 2014, Springer
paperback
Cover of: Bayesian methods in structural bioinformatics
Bayesian methods in structural bioinformatics
2012, Springer
in English

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Book Details


Table of 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.

Edition Notes

Includes bibliographical references (p. 343-376) and index.

Published in
Heidelberg, New York
Series
Statistics for biology and health, Statistics for biology and health

Classifications

Library of Congress
QH324.2 .B389 2012, QA276-280QH506QH505Q, QH323.5

The Physical Object

Pagination
xxii, 385 p. :
Number of pages
385

ID Numbers

Open Library
OL25363963M
Internet Archive
bayesianmethodss00hame
ISBN 10
364227224X, 3642272258
ISBN 13
9783642272240, 9783642272257
LCCN
2012933773
OCLC/WorldCat
795366045

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October 5, 2021 Edited by ImportBot import existing book
August 3, 2020 Edited by ImportBot import existing book
June 28, 2019 Edited by MARC Bot import existing book
June 27, 2012 Created by LC Bot import new book