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Stochastic methods of modeling include randomness as a way to represent the occurrence of events that, because of their very nature or due to practical impossibilities, can only be predicted in probabilistic terms. Thus, the diffusion of molecules through a membrane, the dynamic instability of microtubules, and the spontaneous switch from the non-lytic to the lytic behavior of the λ-phage can all be modeled as stochastic processes.
Various modeling studies of cell cycle regulation networks have been proposed in the literature, which include stochastic parts of behavior. The abstraction level at which stochasticity is included in the model can provide a convenient classification criterion. Going down to the highest to the lowest level we distinguish the following four classes:
Stochasticity at cell division time. The elements of randomness considered are those related to the process of cell division, which is the asymmetric division of cells...
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Mura, I. (2013). Cell Cycle Modeling, Stochastic Methods. In: Dubitzky, W., Wolkenhauer, O., Cho, KH., Yokota, H. (eds) Encyclopedia of Systems Biology. Springer, New York, NY. https://doi.org/10.1007/978-1-4419-9863-7_25
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