Holcman, David
Stochastic Processes, Multiscale Modeling, and Numerical Methods for Computational Cellular Biology
Part I. Stochastic Chemical Reactions
1. Test Models for Statistical Inference: Two-Dimensional Reaction Systems Displaying Limit Cycle Bifurcations and Bistability
Tomislav Plesa, Tomáš Vejchodský, Radek Erban
2. Importance Sampling for Metastable and Multiscale Dynamical Systems
K. Spiliopoulos
3. Multiscale Simulation of Stochastic Reaction-Diffusion Networks
Stefan Engblom, Andreas Hellander, Per Lötstedt
Part II. Stochastic Numerical Approaches, Algorithms and Coarse-Grained Simulations
4. Numerical Methods for Stochastic Simulation: When Stochastic Integration Meets Geometric Numerical Integration
Assyr Abdulle
5. Stability and Strong Convergence for Spatial Stochastic Kinetics
Stefan Engblom
6. The T Cells in an Ageing Virtual Mouse
Mario Castro, Grant Lythe, Carmen Molina-París
Part III. Analysis of Stochastic Dynamical Systems for Modeling Cell Biology
7. Model Reduction for Stochastic Reaction Systems
Stephen Smith, Ramon Grima
8. ZI-Closure Scheme: A Method to Solve and Study Stochastic Reaction Networks
M. Vlysidis, P. H. Constantino, Y. N. Kaznessis
9. Deterministic and Stochastic Becker–Döring Equations: Past and Recent Mathematical Developments
E. Hingant, R. Yvinec
10. Coagulation-Fragmentation with a Finite Number of Particles: Models, Stochastic Analysis, and Applications to Telomere Clustering and Viral Capsid Assembly
Nathanael Hoze, David Holcman
11. A Review of Stochastic and Delay Simulation Approaches in Both Time and Space in Computational Cell Biology
Kevin Burrage, Pamela Burrage, Andre Leier, Tatiana Marquez-Lago
Part IV. Diffusion Processes and Stochastic Modeling
12. Recent Mathematical Models of Axonal Transport
Chuan Xue, Gregory Jameson
13. Stochastic Models for Evolving Cellular Populations of Mitochondria: Disease, Development, and Ageing
Hanne Hoitzing, Iain G. Johnston, Nick S. Jones
14. Modeling and Stochastic Analysis of the Single Photon Response
Jürgen Reingruber, David Holcman
15. A Phenomenological Spatial Model for Macro-Ecological Patterns in Species-Rich Ecosystems
Fabio Peruzzo, Sandro Azaele
Avainsanat: Mathematics, Physiological, Cellular and Medical Topics, Systems Biology, Applications of Nonlinear Dynamics and Chaos Theory, Systems Biology
- Toimittaja
- Holcman, David
- Julkaisija
- Springer
- Julkaisuvuosi
- 2017
- Kieli
- en
- Painos
- 1
- Sivumäärä
- 13 sivua
- Kategoria
- Eksaktit luonnontieteet
- Tiedostomuoto
- E-kirja
- eISBN (PDF)
- 9783319626277
- Painetun ISBN
- 978-3-319-62626-0