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Web-Based Structural Identifiability Analyzer

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

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.

Original languageEnglish
Title of host publicationComputational Methods in Systems Biology - 19th International Conference, CMSB 2021, Proceedings
EditorsEugenio Cinquemani, Loïc Paulevé
PublisherSpringer Science and Business Media Deutschland GmbH
Pages254-265
Number of pages12
ISBN (Print)9783030856328
DOIs
Publication statusPublished - 1 Jan 2021
Event19th International Conference on Computational Methods in Systems Biology, CMSB 2021 - Virtual, Online
Duration: 22 Sept 202124 Sept 2021

Publication series

NameLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Volume12881 LNBI
ISSN (Print)0302-9743
ISSN (Electronic)1611-3349

Conference

Conference19th International Conference on Computational Methods in Systems Biology, CMSB 2021
CityVirtual, Online
Period22/09/2124/09/21

Keywords

  • Differential algebra
  • Identifiability software
  • Structural identifiability

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