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Dynamic Systems Biology Modeling and Simulation
Dynamic Systems Biology Modeling and Simuation consolidates and unifies classical and contemporary multiscale methodologies for mathematical modeling and computer simulation of dynamic biological systems - from molecular/cellular, organ-system, on up to population levels. The book pedagogy is devel...
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| Format: | Printed Book |
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Amsterdam
Elsevier, Academic Press
2013
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Table of Contents:
- Biosystem modeling and simulation : nomenclature and philosophy
- Math models of systems : biomodeling 101
- Computer simulation methods
- Structural biomodeling from theory and data : compartmentalizations
- Structural biomodeling from theory and data : sizing, distinguishing and simplifying multicompartmental models
- Nonlinear mass action and biochemical kinetic interaction modeling
- Cellular systems biology modeling : deterministic and stochastic
- Physiologically based, whole-organism kinetics and noncompartmental modeling
- Biosystem stability and oscillations
- Structural identifiability
- Parameter sensitivity methods
- Parameter estimation and numerical identifiability
- Parameter estimation methods II : facilitating, simplifying and working with data
- Biocontrol system modeling, simulation, and analysis
- Data-driven modeling and alternative hypothesis testing
- Experiment design and optimization
- Model reduction and network inference in dynamic systems biology.