Web-based Structural Identifiability Analyzer

TL;DR

This paper introduces a web-based tool that determines parameter identifiability in differential models, aiding in designing better experiments by identifying which parameters can be uniquely estimated from data.

Contribution

The work presents a novel online software that assesses parameter identifiability and identifiable combinations for differential models, accessible via a user-friendly web interface.

Findings

Provides a web-based platform for identifiability analysis

Can determine individual parameter identifiability

Identifies all identifiable parameter combinations

Abstract

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.