ENGLISH

Bayesian Methods in Structural Bioinformatics

By Thomas Hamelryck (auth.) , Thomas Hamelryck , Kanti Mardia , Jesper Ferkinghoff-Borg (eds.)

Book information

Publisher
Springer-Verlag Berlin Heidelberg
Year
2012
ISBN
978-3-642-27224-0, 978-3-642-27225-7
DOI
10.1007/978-3-642-27225-7
Language
english
Format
PDF
Filesize
6 MB (6619065 bytes)
Series
Statistics for Biology and Health
Edition
1
Pages
386\398
Orientation
yes
Scanned
yes
Time added
2013-08-01 04:00:00
Health Sciences;Molecular Medicine;Biophysics andMedicineStatistics for Life Sciences

Description

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.

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