An evolutionary hybrid cellular automaton model of solid tumour growth

• Published in: Journal of theoretical biology Vol. 246; no. 4; pp. 583 - 603
• Main Authors: Gerlee, P., Anderson, A.R.A.
• Format: Journal Article
• Language: English
• Published: England Elsevier Ltd 21.06.2007
• Subjects: Apoptosis - physiology; Artificial neural networks; Cancer development; Cell Division - genetics; Cell Division - physiology; Cell Physiological Phenomena; Cells - metabolism; Cellular automaton; Chimera - growth & development; Clonal evolution; Evolution, Molecular; Evolutionary dynamics; Humans; Hybrid; Mathematical model; Micro-environment; Models, Biological; Mutation - genetics; Neoplasms - genetics; Neoplasms - pathology; Neoplasms - physiopathology; Neural Networks, Computer; Oxygen - physiology; Phenotype; Response network; Tumourigenesis; Clonal evolution; Cancer development; Response network; Cellular automaton; Evolutionary dynamics; Artificial neural networks; Hybrid; Mathematical model; Tumourigenesis; Micro-environment

We propose a cellular automaton model of solid tumour growth, in which each cell is equipped with a micro-environment response network. This network is modelled using a feed-forward artificial neural network, that takes environmental variables as an input and from these determines the cellular behav...