Stochastic Modelling for Systems Biology
I stumbled across this while running down material on Monte Carlo models.
From the website:
Although stochastic kinetic models are increasingly accepted as the best way to represent and simulate genetic and biochemical networks, most researchers in the field have limited knowledge of stochastic process theory. Stochastic Modeling for Systems Biology provides an accessible introduction to this theory using examples that are familiar to systems biology researchers. Focusing on computer simulation, the author examines the use of stochastic processes for modeling biological systems. Along with the latest simulation techniques and research material, such as parameter inference, the text includes many examples and figures as well as software code in R for various applications.
The art of constructing or at least reading models is an important skill for topic map authors.
Systems biology has been, is and will continue to be a hot property.
Bringing the advantages of topic maps to models in systems biology would be a win-win situation.
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