Uncertainty in Biology

A Computational Modeling Approach

AvLiesbet Geris,David Gomez-Cabrero

Häftad, Engelska, 2016

Del 17 i serien Studies in Mechanobiology, Tissue Engineering and Biomaterials

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Beskrivning

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.

Produktinformation

Utgivningsdatum:2016-08-23
Mått:155 x 235 x 27 mm
Vikt:733 g
Format:Häftad
Språk:Engelska
Serie:Studies in Mechanobiology, Tissue Engineering and Biomaterials
Antal sidor:478
Förlag:Springer International Publishing AG
ISBN:9783319343723

Utforska kategorier

Innehållsförteckning

An Introduction to Uncertainty in the Development of Computational Models of Biological Processes.- Reverse Engineering under Uncertainty.- Probabilistic Computational Causal Discovery for Systems Biology.- Macroscopic Simulation of Individual-Based Stochastic Models for Biological Processes.- The Experimental Side of Parameter Estimation.- Statistical Data Analysis and Modeling.- Optimization in Biology: Parameter Estimation and the Associated Optimization Problem.- Interval Methods.- Model Extension and Model Selection.- Bayesian Model Selection Methods and their Application to Biological ODE Systems.- Sloppiness and the Geometry of Parameter Space.- Modeling and Model Simplification to Facilitate Biological Insights and Predictions.- Sensitivity Analysis by Design of Experiments.- Waves in Spatially-Disordered Neural Fields: a Case Study in Uncertainty Quantification.- X In-silico Models of Trabecular Bone: a Sensitivity Analysis Perspective.- Neuroswarm: a Methodology to Explore the Constraints that Function Imposes on Simulation Parameters in Large-Scale Networks of Biological Neurons.- Prediction Uncertainty Estimation Despite Unidentifiability: an Overview of Recent Developments.- Computational Modeling Under Uncertainty: Challenges and Opportunities.