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

Collective dynamics of migrating cell populations drive key processes in tissue formation and maintenance under normal and diseased conditions. Collective cell behavior at the tissue level is typically characterized by considering cell density patterns such as clusters and moving cell fronts. However, there are also important observables of collective dynamics related to individual cell behavior.

Parameter estimation with a novel gradient-based optimization method for biological lattice-gas cellular automaton models.

Lattice-gas cellular automata (LGCAs) can serve as stochastic mathematical models for collective behavior (e.g. pattern formation) emerging in populations of interacting cells.