Maple application for structural identifiability analysis of ODE models

Abstract

Structural identifiability properties of models of ordinary differential equations help one assess if the parameter's value can be recovered from experimental data. This theoretical property can be queried without the need for data collection and is determined with help of differential algebraic tools. We present a web-based Structural Identifiability Toolbox that rigorously uncovers identifiability properties of individual parameters of ODE systems as well as their functions (also called identifiable combinations) using the apparatus of differential algebra. The application requires no installation and is readily available at https://maple.cloud/app/6509768948056064/