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SPSens: a software package for stochastic parameter sensitivity analysis of biochemical reaction networks

机译:SPSens:用于生化反应网络随机参数敏感性分析的软件包

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SPSens is a software package for the efficient computation of stochastic parameter sensitivities of biochemical reaction networks. Parameter sensitivity analysis is a valuable tool that can be used to study robustness properties, for drug targeting, and many other purposes. However its application to stochastic models has been limited when Monte Carlo methods are required due to extremely high computational costs. SPSens provides efficient, state of the art sensitivity analysis algorithms in a single software package so that sensitivity analysis can be easily performed on stochastic models of biochemical reaction networks. SPSens implements the algorithms in C and estimates sensitivities with respect to both infinitesimal and finite perturbations to system parameters, in many cases reducing variance by orders of magnitude compared to basic methods. Included among the features of SPSens are serial and parallel command line versions, an interface with Matlab, and several example problems.
机译:SPSens是一个用于高效计算生化反应网络随机参数敏感性的软件包。参数敏感性分析是一种有价值的工具,可用于研究鲁棒性,靶向药物和许多其他目的。但是,由于极高的计算成本,当需要蒙特卡洛方法时,它在随机模型中的应用受到了限制。 SPSens在单个软件包中提供了有效的最新灵敏度分析算法,因此可以轻松地对生化反应网络的随机模型进行灵敏度分析。 SPSens以C语言实现算法,并估计对系统参数的无穷小和有限摄动的敏感性,在许多情况下,与基本方法相比,其方差减小了几个数量级。 SPSens的功能包括串行和并行命令行版本,与Matlab的接口以及一些示例问题。

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