# SIAN: software for structural identifiability analysis of ODE models

## TL;DR

SIAN is a software tool designed to analyze the structural identifiability of ODE models in biological systems, helping determine if model parameters can be uniquely estimated prior to experimentation.

## Contribution

The paper introduces SIAN, a novel software that extends the capability to analyze structural identifiability of complex ODE models beyond existing tools.

## Key findings

- SIAN successfully analyzes models previously intractable by other software.
- It helps identify non-identifiable parameters before data collection.
- Enhances reliability of parameter estimation in biological modeling.

## Abstract

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.