Modeling genetic network by hybrid GP
Modeling genetic network by hybrid GP
复制标题
通过混合 GP 建模遗传网络
DOI：
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发表时间：
2002
期刊：
影响因子：
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通讯作者：
H. Iba
中科院分区：
文献类型：
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作者：
S. Ando;E. Sakamoto;H. Iba
我们提出了一种进化建模方法来建模遗传调控网络。该方法的特点是采用遗传编程与统计分析相结合的混合算法来推导微分方程组。将遗传编程和最小二乘法结合起来，从一组给定的时间序列中识别变量之间的一种简明的调节形式。对多次运行的结果进行统计分析，表明该术语具有稳健和显著的影响。我们的方法在人工数据和真实数据中进行了评估。
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.
影响因子：
3.3
作者：
Spellman, PT;Sherlock, G;Futcher, B
通讯作者：
Futcher, B