Abstract
Multiscale problems are ubiquitous in all biological phenomena, which emerge from the complex interaction between processes happening at various levels and in particular from the relationship between the subcellular genomic and proteomic dynamics and the behavior of the cell. In order to deals with such an intricate network of organization, this work discusses some innovative extensions of the cellular Potts model (CPM), a discrete, lattice-based, technique able to reproduce and analyze innumerable biological phenomena. The aim is to increase the accuracy of the method and to create a multilevel framework able to deal with the multiscale complexity typical of biological development. The proposed CPM extensions are finally tested with sample applications, that show their potential and biological realism.
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