生物过程的数学方法

Mathematic methods of biological process.

生物信息学的研究内容分为两类:研究生物在细胞和分子水平的静态特征下的静态问题,和研究这些静态特征的动态演化规律的动态问题,并称后一类问题为生物过程。这两类问题在数学方法上的主要区别是:前者以寻找和设计高效的算法为主;后者主要是建立生物过程的数学模型,以便模拟和分析。综述了生物过程数学建模的三种主要方法:微分方程方法,贝叶斯网和概率布尔网络方法,以及进程代数方法。最后对这几种方法进行讨论。

Research within bioinformatics is classified into two categories,one is static biological problem to do research at cell and molecule level,the other,which is called biological process,is dynamic biological prob- lem to research dynamic evolvement of these static characters.A main mathematical approach of the former is to find efficient algorithms,whereas it of the latter is to give mathematic model to simulate and analyze bio- logical process.Three mathematic models,differential equation,Bayesian networks and process algebra,are sur- veyed and discussed from the view of biological process.