An adaptive multi-level simulation algorithm for stochastic biological systems.

@article{Lester2015AnAM,
  title={An adaptive multi-level simulation algorithm for stochastic biological systems.},
  author={C. Lester and C. Yates and M. Giles and R. Baker},
  journal={The Journal of chemical physics},
  year={2015},
  volume={142 2},
  pages={
          024113
        }
}
  • C. Lester, C. Yates, +1 author R. Baker
  • Published 2015
  • Computer Science, Medicine, Biology
  • The Journal of chemical physics
  • Discrete-state, continuous-time Markov models are widely used in the modeling of biochemical reaction networks. Their complexity often precludes analytic solution, and we rely on stochastic simulation algorithms (SSA) to estimate system statistics. The Gillespie algorithm is exact, but computationally costly as it simulates every single reaction. As such, approximate stochastic simulation algorithms such as the tau-leap algorithm are often used. Potentially computationally more efficient, the… CONTINUE READING
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