Uncertainty in Biology is popular PDF and ePub book, written by Liesbet Geris in 2015-10-26, it is a fantastic choice for those who relish reading online the Technology & Engineering genre. Let's immerse ourselves in this engaging Technology & Engineering book by exploring the summary and details provided below. Remember, Uncertainty in Biology can be Read Online from any device for your convenience.
Uncertainty in Biology Book PDF Summary
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.
Detail Book of Uncertainty in Biology PDF
- Author : Liesbet Geris
- Release : 26 October 2015
- Publisher : Springer
- ISBN : 9783319212968
- Genre : Technology & Engineering
- Total Page : 478 pages
- Language : English
- PDF File Size : 15,6 Mb
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