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By
Liesbet Geris (editor) and
David Gomez-cabrero (editor)
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Bibliographic Detail
Publisher
Springer Verlag
Publication date
November 11, 2015
Binding
Hardcover
Book category
Adult Non-Fiction
ISBN-13
9783319212951
ISBN-10
3319212958
Dimensions
1.25 by 6.25 by 9.25 in.
Weight
2.38 lbs.
Published in
Europe
Original list price
$129.00
Other format details
sci/tech
Summaries and Reviews
Amazon.com description: Product Description: 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.
Editions
Hardcover
The price comparison is for this edition
With Liesbet Geris (other contributor) |
from Springer Verlag (November 11, 2015)
9783319212951 | details & prices | 6.25 × 9.25 × 1.25 in. | 2.38 lbs | List price $129.00
About: Computational modeling allows to reduce, refine and replace animal experimentation as well as to translate findings obtained in these experiments to the human background.
About: Computational modeling allows to reduce, refine and replace animal experimentation as well as to translate findings obtained in these experiments to the human background.
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