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# Read # Bayesian Methods in Structural Bioinformatics (Statistics for Biology and Health) by Springer í eBook or Kindle ePUB. Bayesian Methods in Structural Bioinformatics (Statistics for Biology and Health) Excellent introduction for structural biologists with an interest in probabilistic methods IngemarA Bayesian methods are central to bioinformatics, but also play an increasing role in structural bioinformatics. This books serves as an excellent entry point into the applications of probabilistic modeling methods in structural biology. There are two main themes in the book. One is the use of Bayesian methods. Excellent reference for the specialists This book constitutes a comprehensive reference p
| Title | : | Bayesian Methods in Structural Bioinformatics (Statistics for Biology and Health) |
| Author | : | |
| Rating | : | 4.49 (895 Votes) |
| Asin | : | 3642439888 |
| Format Type | : | paperback |
| Number of Pages | : | 386 Pages |
| Publish Date | : | 2013-07-16 |
| Language | : | English |
This edited volume is a high-profile overview of the current state of play in statistical methods applied to structural bioinformatics. With almost 100 pages of introductory material, it covers topics including protein structure prediction and simulation.
Excellent introduction for structural biologists with an interest in probabilistic methods IngemarA Bayesian methods are central to bioinformatics, but also play an increasing role in structural bioinformatics. This books serves as an excellent entry point into the applications of probabilistic modeling methods in structural biology. There are two main themes in the book. One is the use of Bayesian methods. Excellent reference for the specialists This book constitutes a comprehensive reference primarily aimed at people in the field. However, among its six parts the first is a thorough introduction to probability theory and advanced inference methods. This makes it possible for novices to get familiar with the technical and theoretical foundations of
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. From the Back CoverThis 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
He received his PhD in theoretical physics from the Niels Bohr Institute at the University of Copenhagen. . His most outstanding contributions lie in directional data analysis, shape analysis, spatial statistics, multivariate analysis, and protein bioinformatics.Jesper Ferkinghoff-Borg is an associate professor at the section for Biomedical Engineering, DTU-Electro, Technical University of Denmark (DTU), Copenhagen, where he heads the computational biophysics
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