SIAN: software for structural identifiability analysis of ODE models
SIAN: software for structural identifiability analysis of ODE models
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DOI：
10.1093/bioinformatics/bty1069
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发表时间：
2019-08-15
期刊：
影响因子：
5.8
通讯作者：
Yap, Chee
中科院分区：
文献类型：
--
作者：
Hong, Hoon;Ovchinnikov, Alexey;Yap, Chee
生物过程通常是用含未知参数的常微分方程来建模的。未知参数通常由实验数据估计。在某些情况下，由于模型的结构，即使在连续无噪声数据的情况下，该估计问题也没有唯一的解。因此，期望在进行实际实验之前先验地检查唯一性。我们提出了一个新的软件SIAN（结构可识别性分析仪），这样做。我们的软件可以解决以前开发的软件包无法解决的问题。
A Summary: Biological processes are often modeled by ordinary differential equations with unknown parameters. The unknown parameters are usually estimated from experimental data. In some cases, due to the structure of the model, this estimation problem does not have a unique solution even in the case of continuous noise-free data. It is therefore desirable to check the uniqueness a priori before carrying out actual experiments. We present a new software SIAN (Structural Identifiability ANalyser) that does this. Our software can tackle problems that could not be tackled by previously developed packages.