| 书目名称 | Uncertainty in Biology |
| 副标题 | A Computational Mode |
| 编辑 | Liesbet Geris,David Gomez-Cabrero |
| 视频video | |
| 概述 | Addresses several main issues of building and validating computational models of biomedical processes.Identifies key techniques to model biomedical processes under uncertainty.Presents the main outcom |
| 丛书名称 | Studies in Mechanobiology, Tissue Engineering and Biomaterials |
| 图书封面 |  |
| 描述 | Computational modeling allows to reduce, refine and replace animal experimentation as well as to translate findings obtained in these experiments to the human background. However these biomedical problems are inherently complex with a myriad of influencing factors, which strongly complicates the model building and validation process. This book wants to address four main issues related to the building and validation of computational models of biomedical processes: 1. Modeling establishment under uncertainty 2. Model selection and parameter fitting 3. Sensitivity analysis and model adaptation 4. Model predictions under uncertainty In each of the abovementioned areas, the book discusses a number of key-techniques by means of a general theoretical description followed by one or more practical examples. This book is intended for graduate students and researchers active in the field of computational modeling of biomedical processes who seek to acquaint themselves with the different ways in which to study the parameter space of their model as well as its overall behavior. |
| 出版日期 | Book 2016 |
| 关键词 | Biomedical Processes; Model Fitting; Reverse Engineering; Sensitivity Analysis; approximate Bayesian inf |
| 版次 | 1 |
| doi | https://doi.org/10.1007/978-3-319-21296-8 |
| isbn_softcover | 978-3-319-34372-3 |
| isbn_ebook | 978-3-319-21296-8Series ISSN 1868-2006 Series E-ISSN 1868-2014 |
| issn_series | 1868-2006 |
| copyright | The Editor(s) (if applicable) and The Author(s), under exclusive license to Springer Nature Switzerl |
发表于 2025-3-21 18:19:21
