Uncertainty in Biology

A Computational Modeling Approach

Häftad, Engelska, 2016

1 419 kr

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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

Utgivningsdatum2016-08-23
Mått155 x 235 x undefined mm
FormatHäftad
SpråkEngelska
SerieStudies in Mechanobiology, Tissue Engineering and Biomaterials
Antal sidor478
FörlagSpringer International Publishing AG
ISBN9783319343723

Tillhör följande kategorier

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.