Studies in Mechanobiology, Tissue Engineering and Biomaterials

Uncertainty in Biology

A Computational Modeling Approach

Editors: Geris, Liesbet, Gomez-Cabrero, David (Eds.)

  • Addresses several main issues of building and validating computational models of biomedical processes
  • Identifies key techniques to model biomedical processes under uncertainty
  • Presents the main outcome of key research groups in the field
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Softcover $129.99
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  • ISBN 978-3-319-34372-3
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About this book

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.

Table of contents (18 chapters)

  • An Introduction to Uncertainty in the Development of Computational Models of Biological Processes

    Geris, Liesbet (et al.)

    Pages 3-11

  • Reverse Engineering Under Uncertainty

    Kirk, Paul (et al.)

    Pages 15-32

  • Probabilistic Computational Causal Discovery for Systems Biology

    Lagani, Vincenzo (et al.)

    Pages 33-73

  • Stochastic Modeling and Simulation Methods for Biological Processes: Overview

    Lejon, Annelies (et al.)

    Pages 75-124

  • The Experimental Side of Parameter Estimation

    Schliemann-Bullinger, Monica (et al.)

    Pages 127-154

Buy this book

eBook $99.00
price for USA (gross)
  • ISBN 978-3-319-21296-8
  • Digitally watermarked, DRM-free
  • Included format: EPUB, PDF
  • ebooks can be used on all reading devices
  • Immediate eBook download after purchase
Hardcover $169.99
price for USA
  • ISBN 978-3-319-21295-1
  • Free shipping for individuals worldwide
  • Usually dispatched within 3 to 5 business days.
Softcover $129.99
price for USA
  • ISBN 978-3-319-34372-3
  • Free shipping for individuals worldwide
  • Usually dispatched within 3 to 5 business days.
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Bibliographic Information

Bibliographic Information
Book Title
Uncertainty in Biology
Book Subtitle
A Computational Modeling Approach
Editors
  • Liesbet Geris
  • David Gomez-Cabrero
Series Title
Studies in Mechanobiology, Tissue Engineering and Biomaterials
Series Volume
17
Copyright
2016
Publisher
Springer International Publishing
Copyright Holder
Springer International Publishing Switzerland
eBook ISBN
978-3-319-21296-8
DOI
10.1007/978-3-319-21296-8
Hardcover ISBN
978-3-319-21295-1
Softcover ISBN
978-3-319-34372-3
Series ISSN
1868-2006
Edition Number
1
Number of Pages
IX, 478
Topics