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ABSTRACT: During stochastic analysis of biological systems, it is important to be able to both determine accurately and efficiently the typical behavior and the probability of rare deviant events. This chapter has introduced two new stochastic simulation algorithms, the iSSA and wSSA, to address these problems. The iSSA has been shown to produce a more stable typical behavior of an oscillatory system than aggregate statistics generated by the traditional SSA. The wSSA has been shown to produce a substantially more accurate estimate of the probability of rare deviant events as compared to same number of runs of the SSA. Taken together, these are powerful tools for the analysis of biological systems.
08/2010; , ISBN: 978-953-307-121-3
