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L1 and L2 norms in sensitivity analysis of signaling pathway models

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

3 Citations (Scopus)

Abstract

Sensitivity methods have been originally developed for analysis of technical systems and recently have gained increasing importance in systems biology. Among others, they provide means to rank parameters of mathematical models describing complex systems, according to their influence on system behavior. Parameter rankings can be derived using different sensitivity measures. This paper is focused on two types of norms, most often used in such analysis. Using simple, illustrative dynamical models as well as models of signaling pathways, it shows how much the results of sensitivity analysis depend on the choice of the norm.

Original languageEnglish
Title of host publication2016 21st International Conference on Methods and Models in Automation and Robotics, MMAR 2016
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages589-594
Number of pages6
ISBN (Electronic)9781509018666
DOIs
Publication statusPublished - 22 Sept 2016
Event21st International Conference on Methods and Models in Automation and Robotics, MMAR 2016 - Miedzyzdroje, Poland
Duration: 29 Aug 20161 Sept 2016

Publication series

Name2016 21st International Conference on Methods and Models in Automation and Robotics, MMAR 2016

Conference

Conference21st International Conference on Methods and Models in Automation and Robotics, MMAR 2016
Country/TerritoryPoland
CityMiedzyzdroje
Period29/08/161/09/16

ASJC Scopus subject areas

  • Control and Optimization
  • Control and Systems Engineering
  • Artificial Intelligence

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