The Resource Bayesian Methods in Structural Bioinformatics, edited by Thomas Hamelryck, Kanti Mardia, Jesper Ferkinghoff-Borg, (electronic resource)

Bayesian Methods in Structural Bioinformatics, edited by Thomas Hamelryck, Kanti Mardia, Jesper Ferkinghoff-Borg, (electronic resource)

Label
Bayesian Methods in Structural Bioinformatics
Title
Bayesian Methods in Structural Bioinformatics
Statement of responsibility
edited by Thomas Hamelryck, Kanti Mardia, Jesper Ferkinghoff-Borg
Contributor
Editor
Editor
Subject
Language
  • eng
  • eng
Summary
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 structural bioinformatics (and in particular protein structure prediction, simulation, experimental structure determination and analysis). It focuses on statistical methods that have a clear interpretation in the framework of statistical physics, rather than ad hoc, black box methods based on neural networks or support vector machines. In addition, the emphasis is on methods that deal with biomolecular structure in atomic detail. The book is highly accessible, and only assumes background knowledge on protein structure, with a minimum of mathematical knowledge. Therefore, the book includes introductory chapters that contain a solid introduction to key topics such as Bayesian statistics and concepts in machine learning and statistical physics
Member of
Is Subseries of
Dewey number
572.86
http://bibfra.me/vocab/relation/httpidlocgovvocabularyrelatorsedt
  • 1LnLp6UrlSc
  • 1ux5gF6-uxE
  • RaVlyPVLVZA
Language note
English
LC call number
QA276-280
Literary form
non fiction
Nature of contents
dictionaries
http://library.link/vocab/relatedWorkOrContributorName
  • Hamelryck, Thomas.
  • Mardia, Kanti.
  • Ferkinghoff-Borg, Jesper.
Series statement
Statistics for Biology and Health,
http://library.link/vocab/subjectName
  • Statistics
  • Medicine
  • Bioinformatics
  • Statistics for Life Sciences, Medicine, Health Sciences
  • Molecular Medicine
  • Biological and Medical Physics, Biophysics
  • Mathematical and Computational Biology
  • Computational Biology/Bioinformatics
Label
Bayesian Methods in Structural Bioinformatics, edited by Thomas Hamelryck, Kanti Mardia, Jesper Ferkinghoff-Borg, (electronic resource)
Instantiates
Publication
Note
Description based upon print version of record
Bibliography note
Includes bibliographical references and index
Carrier category
online resource
Carrier category code
cr
Content category
text
Content type code
txt
Contents
Part I Foundations: An Overview of Bayesian Inference and Graphical Models -- Monte Carlo Methods for Inferences in High-dimensional Systems -- Part II Energy Functions for Protein Structure Prediction: On the Physical Relevance and Statistical Interpretation of Knowledge based Potentials -- Statistical Machine Learning of Protein Energetics from Experimentally Observed Structures -- A Statistical View on the Reference Ratio Method -- Part III Directional Statistics and Shape Theory: Statistical Modelling and Simulation Using the Fisher-Bingham Distribution -- Statistics of Bivariate von Mises Distributions -- Bayesian Hierarchical Alignment Methods -- Likelihood and Empirical Bayes Superpositions of Multiple Macromolecular Structures -- Part IV Graphical models for structure prediction: Probabilistic Models of Local Biomolecular Structure and their Application in Structural Simulation -- Prediction of Low Energy Protein Side Chain Configurations Using Markov Random Fields -- Part V Inferring Structure from Experimental Data -- Inferential Structure Determination from NMR Data -- Bayesian Methods in SAXS and SANS Structure Determination
Dimensions
unknown
Edition
1st ed. 2012.
Extent
1 online resource (398 p.)
Form of item
online
Isbn
9786613711366
Media category
computer
Media type code
c
Other control number
10.1007/978-3-642-27225-7
Specific material designation
remote
System control number
  • (CKB)2670000000174588
  • (EBL)973300
  • (OCoLC)783219562
  • (SSID)ssj0000665960
  • (PQKBManifestationID)11389199
  • (PQKBTitleCode)TC0000665960
  • (PQKBWorkID)10646861
  • (PQKB)10115921
  • (DE-He213)978-3-642-27225-7
  • (MiAaPQ)EBC973300
  • (EXLCZ)992670000000174588
Label
Bayesian Methods in Structural Bioinformatics, edited by Thomas Hamelryck, Kanti Mardia, Jesper Ferkinghoff-Borg, (electronic resource)
Publication
Note
Description based upon print version of record
Bibliography note
Includes bibliographical references and index
Carrier category
online resource
Carrier category code
cr
Content category
text
Content type code
txt
Contents
Part I Foundations: An Overview of Bayesian Inference and Graphical Models -- Monte Carlo Methods for Inferences in High-dimensional Systems -- Part II Energy Functions for Protein Structure Prediction: On the Physical Relevance and Statistical Interpretation of Knowledge based Potentials -- Statistical Machine Learning of Protein Energetics from Experimentally Observed Structures -- A Statistical View on the Reference Ratio Method -- Part III Directional Statistics and Shape Theory: Statistical Modelling and Simulation Using the Fisher-Bingham Distribution -- Statistics of Bivariate von Mises Distributions -- Bayesian Hierarchical Alignment Methods -- Likelihood and Empirical Bayes Superpositions of Multiple Macromolecular Structures -- Part IV Graphical models for structure prediction: Probabilistic Models of Local Biomolecular Structure and their Application in Structural Simulation -- Prediction of Low Energy Protein Side Chain Configurations Using Markov Random Fields -- Part V Inferring Structure from Experimental Data -- Inferential Structure Determination from NMR Data -- Bayesian Methods in SAXS and SANS Structure Determination
Dimensions
unknown
Edition
1st ed. 2012.
Extent
1 online resource (398 p.)
Form of item
online
Isbn
9786613711366
Media category
computer
Media type code
c
Other control number
10.1007/978-3-642-27225-7
Specific material designation
remote
System control number
  • (CKB)2670000000174588
  • (EBL)973300
  • (OCoLC)783219562
  • (SSID)ssj0000665960
  • (PQKBManifestationID)11389199
  • (PQKBTitleCode)TC0000665960
  • (PQKBWorkID)10646861
  • (PQKB)10115921
  • (DE-He213)978-3-642-27225-7
  • (MiAaPQ)EBC973300
  • (EXLCZ)992670000000174588

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