Bayesian Methods in Structural Bioinformatics is popular PDF and ePub book, written by Thomas Hamelryck in 2012-03-23, it is a fantastic choice for those who relish reading online the Medical genre. Let's immerse ourselves in this engaging Medical book by exploring the summary and details provided below. Remember, Bayesian Methods in Structural Bioinformatics can be Read Online from any device for your convenience.
Bayesian Methods in Structural Bioinformatics Book PDF 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.
Detail Book of Bayesian Methods in Structural Bioinformatics PDF
- Author : Thomas Hamelryck
- Release : 23 March 2012
- Publisher : Springer
- ISBN : 9783642272257
- Genre : Medical
- Total Page : 399 pages
- Language : English
- PDF File Size : 15,7 Mb
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