Stochastic Simulation of the Cell Cycle Model for Budding Yeast
Di Liu 1*1 Department of Mathematics, Michigan State University, East Lansing, MI 48824, USA.
Received 31 October 2009; Accepted (in revised version) 10 March 2010
Available online 27 August 2010
We use the recently proposed Nested Stochastic Simulation Algorithm (Nested SSA) to simulate the cell cycle model for budding yeast. The results show that Nested SSA is able to significantly reduce the computational cost while capturing the essential dynamical features of the system.AMS subject classifications: 65C05, 60G17, 74A25, 92C42
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Key words: Stochastic simulation algorithm, stochastic process, bio-chemical reacting network, system biology.
Email: firstname.lastname@example.org (D. Liu)