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Web-based Structural Identifiability Analyzer
arXiv - CS - Mathematical Software Pub Date : 2021-06-29 , DOI: arxiv-2106.15066
Ilia Ilmer, Alexey Ovchinnikov, Gleb Pogudin

Parameter identifiability describes whether, for a given differential model, one can determine parameter values from model equations. Knowing global or local identifiability properties allows construction of better practical experiments to identify parameters from experimental data. In this work, we present a web-based software tool that allows to answer specific identifiability queries. Concretely, our toolbox can determine identifiability of individual parameters of the model and also provide all functions of parameters that are identifiable (also called identifiable combinations) from single or multiple experiments. The program is freely available at https://maple.cloud/app/6509768948056064.

中文翻译:

基于 Web 的结构可识别性分析器

参数可识别性描述了对于给定的微分模型,人们是否可以从模型方程中确定参数值。了解全局或局部可识别性特性可以构建更好的实际实验,以从实验数据中识别参数。在这项工作中,我们提出了一个基于网络的软件工具,可以回答特定的可识别性查询。具体来说,我们的工具箱可以确定模型各个参数的可识别性,还可以提供可从单个或多个实验中识别(也称为可识别组合)的参数的所有功能。该程序可在 https://maple.cloud/app/6509768948056064 免费获得。
更新日期:2021-06-30
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