| 期刊全称 | Bayesian Methods in Structural Bioinformatics | | 影响因子2023 | Thomas Hamelryck,Kanti Mardia,Jesper Ferkinghoff-B | | 视频video | | | 发行地址 | First book on Bayesian methods in structural bioinformatics, defining an important emerging field.High profile contributors.Unlike other edited volumes, the book forms a solid unity, with nearly 100 p | | 学科分类 | Statistics for Biology and Health | | 图书封面 |  | | 影响因子 | .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.. | | Pindex | Book 2012 |
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发表于 2025-3-21 17:13:31
