基于混合GP的遗传网络建模

Proceedings of the 2002 Congress on Evolutionary Computation. CEC'02 (Cat. No.02TH8600) Pub Date : 2002-05-12 DOI:10.1109/CEC.2002.1006249

S. Ando, E. Sakamoto, H. Iba

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引用次数: 12

摘要

我们提出了一种进化建模方法来模拟遗传调控网络。该方法采用遗传规划与统计分析相结合的方法推导微分方程组。将遗传规划和最小均二乘法相结合，从给定的一组时间序列中确定变量之间的简洁形式的调节。对多次运行的结果进行统计分析，以表明具有稳健和显著影响的术语。我们的方法在人工数据和真实世界数据中进行了评估。

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Modeling genetic network by hybrid GP

We present an evolutionary modeling method for modeling genetic regulatory networks. The method features a hybrid algorithm of genetic programming with statistical analysis to derive systems of differential equations. Genetic programming and the least mean squares method were combined to identify a concise form of regulation between the variables from a given set of time series. Results of multiple runs were statistically analyzed to indicate the term with robust and significant influence. Our approach was evaluated in artificial data and real world data.

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Proceedings of the 2002 Congress on Evolutionary Computation. CEC'02 (Cat. No.02TH8600)

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