Robust measurement selection for biochemical pathway experimental design

  • Authors:

  • Martin Brown;Fei He;Lam Fat Yeung

  • Affiliations:

  • Control Systems Centre, School of Electrical and Electronic Engineering, The University of Manchester, M60 1QD, Manchester, UK.;Control Systems Centre, School of Electrical and Electronic Engineering, The University of Manchester, M60 1QD, Manchester, UK/ Department of Electronic Engineering, City University of Hong Kong, ...;Department of Electronic Engineering, City University of Hong Kong, Hong Kong SAR, PR China

  • Venue:
  • International Journal of Bioinformatics Research and Applications
  • Year:
  • 2008

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Abstract

As a general lack of quantitative measurement data for pathwaymodelling and parameter identification process, time-seriesexperimental design is particularly important in current systemsbiology research. This paper mainly investigates statemeasurement/observer selection problem when parametricuncertainties are considered. Based on the extension of optimaldesign criteria, two robust experimental design strategies areinvestigated, one is the regularisation-based design method, andthe other is Taguchi-based design approach. By implementing to asimplified IκBα – NF - κB signallingpathway system, two design approaches are comparatively studied.When large parametric uncertainty is present, by assuming thatdifferent parametric uncertainties are identical in scale, twomethods tend to provide a similar uniform design result.