Publication

Identification of genetic regulatory networks: A stochastic hybrid approach

Cinquemani, E., Milias-Argeitis, A. & Lygeros, J., 1-Dec-2008, Proceedings of the 17th World Congress, International Federation of Automatic Control, IFAC. Elsevier, (IFAC Proceedings Volumes (IFAC-PapersOnline); vol. 17, no. 1 PART 1).

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

Genetic regulatory networks are families of biochemically interacting genes that regulate most functions of a living cell via the synthesis of proteins and other essential molecules. In this paper we introduce a piecewise deterministic model of genetic network and devise a systematic procedure for the identification of the model parameters from experimental observations of the protein concentration dynamics. Numerical results on simulated data are presented to show the effectiveness of our method.

Original languageEnglish
Title of host publicationProceedings of the 17th World Congress, International Federation of Automatic Control, IFAC
PublisherElsevier
ISBN (Print)9783902661005
Publication statusPublished - 1-Dec-2008
Externally publishedYes
Event17th World Congress, International Federation of Automatic Control, IFAC - Seoul, Korea, Republic of
Duration: 6-Jul-200811-Jul-2008

Publication series

NameIFAC Proceedings Volumes (IFAC-PapersOnline)
Number1 PART 1
Volume17
ISSN (Print)1474-6670

Conference

Conference17th World Congress, International Federation of Automatic Control, IFAC
CountryKorea, Republic of
CitySeoul
Period06/07/200811/07/2008

Event

17th World Congress, International Federation of Automatic Control, IFAC

06/07/200811/07/2008

Seoul, Korea, Republic of

Event: Conference

    Keywords

  • Application of nonlinear analysis and design, Complex systems, Uncertainty descriptions

ID: 95844963