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Estimation and robustness analysis of protein networks for cell cycle systems

机译:细胞周期系统蛋白质网络的估计与鲁棒性分析

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This paper proposes an estimation problem of protein networks for cell cycle and their robustness analysis. Our proposed method is explained to estimate a protein network for cell cycle based on system identification techniques. The method is based on the least-squares method for state space models. Applying the method, a 6-dimensional protein network is estimated for cell cycle to demonstrate the efficacy of our proposed method. The estimated protein network is called as 6-dimensional cell cycle system and the cell cycle system is described as nonlinear differential equations. Moreover robustness analysis and numerical simulations are performed for the cell cycle system described as nonlinear differential equations. From these results, robustness of the cell cycle system is discussed.
机译:本文提出了细胞周期蛋白质网络的估计问题及其鲁棒性分析。我们提出的方法被解释为基于系统识别技术来估计用于细胞周期的蛋白质网络。该方法基于状态空间模型的最小二乘法。施加该方法,估计6维蛋白质网络用于细胞周期,以证明我们提出的方法的功效。估计的蛋白质网络被称为6维细胞周期系统,并且细胞周期系统被描述为非线性微分方程。此外,为非线性微分方程描述的单元循环系统执行了鲁棒性分析和数值模拟。根据这些结果,讨论了细胞周期系统的鲁棒性。

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