Analysis of individual cell trajectories in lattice-gas cellular automaton models for migrating cell populations

DOI10.1007/S11538-015-0079-3zbMath1334.92063OpenAlexW2075864722WikidataQ48673635 ScholiaQ48673635MaRDI QIDQ2355930

Andreas Deutsch, Carsten Mente, Anja Voß-Böhme

Publication date: 28 July 2015

Published in: Bulletin of Mathematical Biology (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1007/s11538-015-0079-3

zbMATH Keywords

stochastic differential equationslattice-gas cellular automataindividual cell trajectoriesmigrating cell populations

Mathematics Subject Classification ID

Cell movement (chemotaxis, etc.) (92C17)

Related Items (1)

Special issue on spatial moment techniques for modelling biological processes

Cites Work

• Unnamed Item
• Unnamed Item
• Spatial analysis of multi-species exclusion processes: application to neural crest cell migration in the embryonic gut
• Cellular automaton modeling of biological pattern formation. Characterization, applications, and analysis. With a foreword by Philip K. Maini
• Prediction of traveling front behavior in a lattice-gas cellular automaton model for tumor invasion
• From single cells to tissue architecture -- a bottom-up approach to modelling the spatio-temporal organisation of complex multi-cellular systems
• The motion of a tagged particle in the simple symmetric exclusion system on Z
• The cellular basis of cell sorting kinetics
• Lattice-gas cellular automata and lattice Boltzmann models. An introduction
• A cellular automaton model for tumour growth in inhomogeneous environment
• 'Go or Grow': the key to the emergence of invasion in tumour progression?
• Investigation of the Migration/Proliferation Dichotomy and its Impact on Avascular Glioma Invasion
• Fourier analysis of Turing-like pattern formation in cellular automaton models
• Model-based Comparison of Cell Density-dependent Cell Migration Strategies
• Diffusion with “collisions” between particles
• MATHEMATICAL MODELLING OF GLIOBLASTOMA TUMOUR DEVELOPMENT: A REVIEW
• An introduction to continuous-time stochastic processes. Theory, models, and applications to finance, biology, and medicine.
• Handbook of stochastic methods for physics, chemistry and the natural sciences.

This page was built for publication: Analysis of individual cell trajectories in lattice-gas cellular automaton models for migrating cell populations