基于概率模糊逻辑的蛋白质信号网络推断方法

提出了一种基于概率模糊逻辑来推断蛋白质信号网络的建模方法,能够同时处理蛋白质信号网络中的随机性和模糊性.采用概率模糊规则建立蛋白质之间的因果关系参数模型,并利用模糊后件分布函数族的差异程度来度量因果关系的强度,进而推断蛋白质之间的因果关系.在模拟数据和人体T细胞实验数据集上的测试结果表明,该方法为蛋白质信号网络建模提供了一种有效的方法.

Inferring protein-signaling networks by using probabilistic frizzy logic

The features of dynamics and topology of Internet were introduced,the reasons of Internet cascading failures were detailedily analysed and then a simple Internet propagation model called ICFM(internet cascading failure model) was put forward.Simulation results show that the Internet does have the characteristic of self-organized criticality,whose potential causes are discussed in the paper,and the model will contribute a lot to the detection and control of Internet cascading failures.