Editors:
- 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
- Includes supplementary material: sn.pub/extras
Part of the book series: Studies in Mechanobiology, Tissue Engineering and Biomaterials (SMTEB, volume 17)
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Table of contents (18 chapters)
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Front Matter
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Introduction
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Front Matter
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Modeling Establishment Under Uncertainty
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Front Matter
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Model Selection and Parameter Fitting
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Front Matter
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Sensitivity Analysis and Model Adaptation
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Front Matter
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About this book
Editors and Affiliations
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Biomechanics Research Unit, University of Liège, Liège 1, Belgium
Liesbet Geris
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Center for Molecular Medicine, Karolinska University Hospital, Stockholm, Sweden
David Gomez-Cabrero
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
DOI: https://doi.org/10.1007/978-3-319-21296-8
Publisher: Springer Cham
eBook Packages: Engineering, Engineering (R0)
Copyright Information: The Editor(s) (if applicable) and The Author(s), under exclusive license to Springer Nature Switzerland AG 2016
Hardcover ISBN: 978-3-319-21295-1Published: 11 November 2015
Softcover ISBN: 978-3-319-34372-3Published: 23 August 2016
eBook ISBN: 978-3-319-21296-8Published: 26 October 2015
Series ISSN: 1868-2006
Series E-ISSN: 1868-2014
Edition Number: 1
Number of Pages: IX, 478
Topics: Biomedical Engineering and Bioengineering, Computational Science and Engineering, Computer Appl. in Life Sciences