Forecasting polynomial dynamics
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摘要
The reverse engineering method of gene regulatory networks, recently implemented by Laubenbacher and Stigler, is used to generate a multivariate time series with a finite set of levels. A formalism of fuzzy control allows one to forecast the evolutionary behavior of a network. When the multivariate time series is converted to a single-component series, an excellent agreement is obtained between the actual and forecasted values. The tests include both simulated and realistic models. For a binary model, with random bit changes simulating mutations, this approach can be used to detect anomalies in the network evolution.
论文关键词:Reverse engineering,Fuzzy control,Polynomial dynamical systems,Forecasting dynamics
论文评审过程:Available online 28 June 2008.
论文官网地址:https://doi.org/10.1016/j.amc.2008.06.040