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  • Open Daily: 10am - 10pm
    Alley-side Pickup: 10am - 7pm

    3038 Hennepin Ave Minneapolis, MN
    612-822-4611

Open Daily: 10am - 10pm | Alley-side Pickup: 10am - 7pm
3038 Hennepin Ave Minneapolis, MN
612-822-4611
Uncertainty in Biology: A Computational Modeling Approach

Uncertainty in Biology: A Computational Modeling Approach

Geris, Liesbet
Gomez-Cabrero, David

Hardcover

Series: Studies in Mechanobiology, Tissue Engineering and Biomateria, Book 17

Technology & EngineeringBiologyGeneral Computers

ISBN10: 3319212958
ISBN13: 9783319212951
Publisher: Springer
Published: Nov 11 2015
Pages: 478
Weight: 1.89
Height: 1.06 Width: 6.14 Depth: 9.21
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.

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