Uncertainty in Biology

A Computational Modeling Approach

Nonfiction, Computers, Advanced Computing, Computer Science, Science & Nature, Technology, Engineering, Health & Well Being, Medical
Cover of the book Uncertainty in Biology by , Springer International Publishing
View on Amazon View on AbeBooks View on Kobo View on B.Depository View on eBay View on Walmart
Author: ISBN: 9783319212968
Publisher: Springer International Publishing Publication: October 26, 2015
Imprint: Springer Language: English
Author:
ISBN: 9783319212968
Publisher: Springer International Publishing
Publication: October 26, 2015
Imprint: Springer
Language: English

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.

View on Amazon View on AbeBooks View on Kobo View on B.Depository View on eBay View on Walmart

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.

More books from Springer International Publishing

Cover of the book Police Brutality, Misconduct, and Corruption by
Cover of the book Religious Pluralism by
Cover of the book Medical Image Computing and Computer-Assisted Intervention – MICCAI 2016 by
Cover of the book CFTR and Cystic Fibrosis by
Cover of the book Intravitreal Steroids by
Cover of the book Eco-Landscape Design by
Cover of the book Digital Watermarking Techniques in Curvelet and Ridgelet Domain by
Cover of the book Knowledge Discovery, Knowledge Engineering and Knowledge Management by
Cover of the book Digital Transformation: Challenges and Opportunities by
Cover of the book Science, Museums and Collecting the Indigenous Dead in Colonial Australia by
Cover of the book Green Infrastructure Financing by
Cover of the book AI*IA 2018 – Advances in Artificial Intelligence by
Cover of the book Exploring Intelligent Decision Support Systems by
Cover of the book Microfluidics for Biologists by
Cover of the book Topological Data Analysis for Scientific Visualization by
We use our own "cookies" and third party cookies to improve services and to see statistical information. By using this website, you agree to our Privacy Policy