This book has provided an introduction to the concepts of stochastic modelling relevant for systems biology applications, and has illustrated those concepts in a systems biology context. The main area of application has been the modelling and simulation of genetic and biochemical networks (Harper et al., 2011), but it should be reasonably clear that the techniques can also be applied to a range of other modelling scenarios. Most interesting biological processes exhibit stochastic variation, and understanding the nature and effect of the randomness can often be fundamental to understanding the system.
Although Chapters 10 and 11 have touched on issues relating to inference, the primary focus of the text has been on the ...
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