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首页> 外文期刊>IFAC PapersOnLine >Extraction of Physiological State Functions in Heterogeneous Cell Population Models * * The authors of this paper gratefully acknowledge the financial support provided by the DFG (German Research Foundation) for this research work (grant WA2965/1-1).
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Extraction of Physiological State Functions in Heterogeneous Cell Population Models * * The authors of this paper gratefully acknowledge the financial support provided by the DFG (German Research Foundation) for this research work (grant WA2965/1-1).

机译:异构细胞群体模型中生理状态功能的提取 * * 本文的作者非常感谢DFG提供的财务支持(德国研究基金会)进行这项研究(授予WA2965 / 1-1)。

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摘要

Abstract: A simple yet generic approach is presented to extract the growth and breakage kinetics from the temporal data of heterogeneous cell population. The moment form of the one-dimensional population balance equation is directly solved by a MATLAB solver for linear systems to extract the kinetics. The corresponding systems of linear equations are, however, highly underdetermined and ill-conditioned. To address this, the problem is regularized by assuming a suitable upper bound of the solution. The range between minimum and maximum possible values of the solution is discretized into several sub-intervals. The system is then solved against each sub-interval, whose values are used as lower and upper bounds in a suitable MATLAB solver and a local solution is obtained in all these ranges. The final solution is then computed by taking average of all solutions having residual norms less than a particular threshold. To validate the method, the results of the inverse technique are compared and discussed against two theoretical experiments.
机译:摘要:提出了一种简单但通用的方法,从异质细胞群体的时间数据中提取生长和断裂动力学。一维人口平衡方程的矩形式由用于线性系统的MATLAB解算器直接求解,以提取动力学。但是,线性方程组的相应系统的确定性很差且条件恶劣。为了解决这个问题,通过假定解决方案的合适上限来对问题进行正则化。解决方案的最小和最大可能值之间的范围离散为几个子间隔。然后针对每个子间隔求解系统,在适当的MATLAB求解器中将其值用作下限和上限,并在所有这些范围内获得局部解。然后,通过对剩余范数小于特定阈值的所有解求平均值来计算最终解。为了验证该方法,将反向技术的结果与两个理论实验进行了比较和讨论。

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