Bayesian Methods in Structural Bioinformatics (Hardcover, 2012)

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.

General

Imprint:	Springer-Verlag
Country of origin:	Germany
Series:	Statistics for Biology and Health
Release date:	March 2012
First published:	2012
Editors:	Thomas Hamelryck • Kanti Mardia • Jesper Ferkinghoff-Borg
Dimensions:	235 x 155 x 25mm (L x W x T)
Format:	Hardcover
Pages:	386
Edition:	2012
ISBN-13:	978-3-642-27224-0
Categories:	Books > Science & Mathematics > Mathematics > Probability & statistics Books > Medicine > General issues > Medical equipment & techniques > General Books > Science & Mathematics > Physics > Applied physics & special topics > Biophysics Books > Science & Mathematics > Biology, life sciences > Life sciences: general issues > General Promotions
LSN:	3-642-27224-X
Barcode:	9783642272240

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