Development of system identification methods for systems biology in yeast

定义了酵母细胞周期中蛋白质网络的估计问题，并提出了一种解决问题的方法。在我们的方法中，假设获得了细胞周期所需的蛋白质浓度。基于这些蛋白质浓度，识别状态空间模型，估计细胞周期的蛋白质网络。通过数值算例验证了该方法的有效性，并指出了未知网络路径的存在性。通过灵敏度分析，说明了估计网络路径和未知网络路径的作用。

Estimation problems of protein networks are defined for cell cycle in yeast and an approach to solve the problems has been proposed. In our approach, it is assumed that concentrations of proteins for cell cycle are obtained. Based on those concentrations of proteins, state space models are identified and the protein network for cell cycle is estimated. In numerical examples, the efficacy of our approach is demonstrated and the existence of unknown network paths is indicated. Moreover the roles of the estimated and unknown network paths are shown by using sensitivity analysis.