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Stochastic Processes, Multiscale Modeling, and Numerical Methods for Computational Cellular Biology

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Table of Contents

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    Book Overview
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    Chapter 1 Test Models for Statistical Inference: Two-Dimensional Reaction Systems Displaying Limit Cycle Bifurcations and Bistability
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    Chapter 2 Importance Sampling for Metastable and Multiscale Dynamical Systems
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    Chapter 3 Multiscale Simulation of Stochastic Reaction-Diffusion Networks
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    Chapter 4 Numerical Methods for Stochastic Simulation: When Stochastic Integration Meets Geometric Numerical Integration
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    Chapter 5 Stability and Strong Convergence for Spatial Stochastic Kinetics
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    Chapter 6 The T Cells in an Ageing Virtual Mouse
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    Chapter 7 Model Reduction for Stochastic Reaction Systems
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    Chapter 8 ZI-Closure Scheme: A Method to Solve and Study Stochastic Reaction Networks
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    Chapter 9 Deterministic and Stochastic Becker–Döring Equations: Past and Recent Mathematical Developments
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    Chapter 10 Coagulation-Fragmentation with a Finite Number of Particles: Models, Stochastic Analysis, and Applications to Telomere Clustering and Viral Capsid Assembly
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    Chapter 11 A Review of Stochastic and Delay Simulation Approaches in Both Time and Space in Computational Cell Biology
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    Chapter 12 Recent Mathematical Models of Axonal Transport
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    Chapter 13 Stochastic Models for Evolving Cellular Populations of Mitochondria: Disease, Development, and Ageing
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    Chapter 14 Modeling and Stochastic Analysis of the Single Photon Response
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    Chapter 15 A Phenomenological Spatial Model for Macro-Ecological Patterns in Species-Rich Ecosystems
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Title
Stochastic Processes, Multiscale Modeling, and Numerical Methods for Computational Cellular Biology
Published by
Springer, Cham, January 2017
DOI 10.1007/978-3-319-62627-7
ISBNs
978-3-31-962626-0, 978-3-31-962627-7
Editors

David Holcman

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Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 47 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 47 100%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 10 21%
Student > Master 8 17%
Researcher 7 15%
Student > Bachelor 3 6%
Professor 3 6%
Other 7 15%
Unknown 9 19%
Readers by discipline Count As %
Mathematics 7 15%
Biochemistry, Genetics and Molecular Biology 6 13%
Engineering 5 11%
Agricultural and Biological Sciences 5 11%
Chemistry 3 6%
Other 9 19%
Unknown 12 26%