Abstract
The Hybrid Cellular Automata (HCA) modelling framework can be an efficient approach to a number of biological problems, particularly those which involve the integration of multiple spatial and temporal scales. As such, HCA may become a key modelling tool in the development of the so-called integrative biology. In this paper, we first discuss HCA on a general level and then present results obtained when this approach was implemented in cancer research.
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Ribba, B., Alarcón, T., Marron, K., Maini, P.K., Agur, Z. (2004). The Use of Hybrid Cellular Automaton Models for Improving Cancer Therapy. In: Sloot, P.M.A., Chopard, B., Hoekstra, A.G. (eds) Cellular Automata. ACRI 2004. Lecture Notes in Computer Science, vol 3305. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-540-30479-1_46
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DOI: https://doi.org/10.1007/978-3-540-30479-1_46
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