Uncertainty in Biology: A Computational Modeling Approach

ISBN 10: 3319343726 ISBN 13: 9783319343723

Edit� par Springer, 2016

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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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Titre : Uncertainty in Biology: A Computational ...
�diteur : Springer
Date d'�dition : 2016
Reliure : Couverture souple
Etat : New

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Uncertainty in Biology

Geris, Liesbet|Gomez-Cabrero, David

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Etat : New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. Addresses several main issues of building and validating computational models of biomedical processesIdentifies key techniques to model biomedical processes under uncertainty Presents the main outcome of key research groups in the fieldC. N� de r�f. du vendeur 448746007

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Uncertainty in Biology | A Computational Modeling Approach

David Gomez-Cabrero (u. a.)

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ISBN 10 : 3319343726 ISBN 13 : 9783319343723

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Uncertainty in Biology: A Computational Modeling Approach

Edit� par Springer, 2016

ISBN 10 : 3319343726 ISBN 13 : 9783319343723

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Uncertainty in Biology

David Gomez-Cabrero

Edit� par Springer International Publishing Aug 2016, 2016

ISBN 10 : 3319343726 ISBN 13 : 9783319343723

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Taschenbuch. Etat : Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -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. 488 pp. Englisch. N� de r�f. du vendeur 9783319343723

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Uncertainty in Biology : A Computational Modeling Approach

David Gomez-Cabrero

Edit� par Springer International Publishing, Springer International Publishing, 2016

ISBN 10 : 3319343726 ISBN 13 : 9783319343723

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Taschenbuch. Etat : Neu. Druck auf Anfrage Neuware - Printed after ordering - 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. N� de r�f. du vendeur 9783319343723

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Uncertainty in Biology

David Gomez-Cabrero

Edit� par Springer International Publishing, Springer International Publishing Aug 2016, 2016

ISBN 10 : 3319343726 ISBN 13 : 9783319343723

Neuf Taschenbuch

Vendeur : buchversandmimpf2000, Emtmannsberg, BAYE, Allemagne

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Taschenbuch. Etat : Neu. Neuware -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.Springer Verlag GmbH, Tiergartenstr. 17, 69121 Heidelberg 488 pp. Englisch. N� de r�f. du vendeur 9783319343723

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