title: A density-based cellular automaton model for studying the clustering of noninvasive cells.
abstract: We investigated whether cluster formation by noninvasive cells can be explained by a global attractive potential. Indices quantifying the persistence of migration in experimental conditions were compared to the same indexes computed from simulations with a density-based cellular automaton. The results indicate that the attractive potential hypothesis must be rejected.
authors.affiliation: UMRS INSERM 514 (IFR53) and with the LERI, University of Reims, Reims 51100, France. noel.bonnet@univ-reims.fr
authors.forename: Noël
authors.initials: N
authors.lastname: Bonnet
authors.forename: Manuela
authors.initials: M
authors.lastname: Matos
authors.forename: Myriam
authors.initials: M
authors.lastname: Polette
authors.forename: Jean-Marie
authors.initials: JM
authors.lastname: Zahm
authors.forename: Béatrice
authors.initials: B
authors.lastname: Nawrocki-Raby
authors.forename: Philippe
authors.initials: P
authors.lastname: Birembaut
mesh_terms: D001185:Artificial Intelligence; D001980:Bronchi / Q000502:physiology; D002449:Cell Aggregation / Q000502:physiology*; D002450:Cell Communication / Q000502:physiology*; D002460:Cell Line; D002465:Cell Movement / Q000502:physiology*; D016000:Cluster Analysis; D003198:Computer Simulation; D006801:Humans; D008954:Models, Biological; D020545:Respiratory Mucosa / Q000502:physiology*