>Summary: Here, we present REDEMPTION (>Reduced >Dimension >Ensemble >Modeling and >Parameter estima>tion), a toolbox for parameter estimation and ensemble modeling of ordinary differential equations (ODEs) using time-series data. For models with more reactions than measured species, a common scenario in biological modeling, the parameter estimation is formulated as a nested optimization problem based on incremental parameter estimation strategy. REDEMPTION also includes a tool for the identification of an ensemble of parameter combinations that provide satisfactory goodness-of-fit to the data. The functionalities of REDEMPTION are accessible through a MATLAB user interface (UI), as well as through programming script. For computational speed-up, REDEMPTION provides a numerical parallelization option using MATLAB Parallel Computing toolbox.>Availability and implementation: REDEMPTION can be downloaded from .>Contact:
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机译：>摘要：在这里，我们介绍REDEMPTION（>重新引出的> D 维度> E 类似> M odeling和> P 参数估计>功能），这是一个使用时间序列数据对常微分方程（ODE）进行参数估计和整体建模的工具箱。对于反应比被测物种更多的模型，这是生物建模中的常见情况，参数估计被公式化为基于增量参数估计策略的嵌套优化问题。 REDEMPTION还包括一个用于识别参数组合集合的工具，这些参数组合可为数据提供令人满意的拟合优度。 REDEMPTION的功能可通过MATLAB用户界面（UI）以及编程脚本进行访问。为了提高计算速度，REDEMPTION使用MATLAB并行计算工具箱提供了数值并行化选项。>可用性和实现： REDEMPTION可以从以下位置下载。>联系方式：
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