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Conference Paper: Genetic networks with SUM regulatory functions: Characterizing the equilibrium points

TitleGenetic networks with SUM regulatory functions: Characterizing the equilibrium points
Authors
Chesi, G
KeywordsEquilibrium point
Genetic network
Nonlinear system
SUM regulatory function
Issue Date2009
PublisherIEEE.
Citation
The 2009 IEEE International Conference on Systems, Man and Cybernetics (SMC 2009), San Antonio, TX., 11-14 October 2009. In Proceedings of IEEE International Conference on Systems, Man and Cybernetics, 2009, p. 4268-4273 How to Cite?
DOI: http://dx.doi.org/10.1109/ICSMC.2009.5346811
AbstractGenetic networks with SUM regulatory functions are a fundamental class of models studied in systems biology. A primary issue for these models consists of establishing the number of the equilibrium points and their location. Unfortunately, this is a difficult problem, indeed existing methods very often do not allow one to solve it. This paper proposes a study of this problem, and describes an approach that exploits the properties of SUM regulatory functions in order to correctly characterize these points of interest. This is verified by some numerical examples, which illustrate the proposed solution and show the advantages with respect to existing methods. ©2009 IEEE.
Persistent Identifierhttp://hdl.handle.net/10722/129724
ISSN
1062-922X
2020 SCImago Journal Rankings: 0.168
ISI Accession Number ID
WOS:000279574602130
References
References in Scopus

 

DC FieldValueLanguage
dc.contributor.authorChesi, Gen_HK
dc.date.accessioned2010-12-23T08:41:17Z-
dc.date.available2010-12-23T08:41:17Z-
dc.date.issued2009en_HK
dc.identifier.citationThe 2009 IEEE International Conference on Systems, Man and Cybernetics (SMC 2009), San Antonio, TX., 11-14 October 2009. In Proceedings of IEEE International Conference on Systems, Man and Cybernetics, 2009, p. 4268-4273en_HK
dc.identifier.issn1062-922Xen_HK
dc.identifier.urihttp://hdl.handle.net/10722/129724-
dc.description.abstractGenetic networks with SUM regulatory functions are a fundamental class of models studied in systems biology. A primary issue for these models consists of establishing the number of the equilibrium points and their location. Unfortunately, this is a difficult problem, indeed existing methods very often do not allow one to solve it. This paper proposes a study of this problem, and describes an approach that exploits the properties of SUM regulatory functions in order to correctly characterize these points of interest. This is verified by some numerical examples, which illustrate the proposed solution and show the advantages with respect to existing methods. ©2009 IEEE.en_HK
dc.languageengen_US
dc.publisherIEEE.-
dc.relation.ispartofProceedings of the IEEE International Conference on Systems, Man and Cybernetics, SMC 2009en_HK
dc.rights©2009 IEEE. Personal use of this material is permitted. However, permission to reprint/republish this material for advertising or promotional purposes or for creating new collective works for resale or redistribution to servers or lists, or to reuse any copyrighted component of this work in other works must be obtained from the IEEE.-
dc.subjectEquilibrium pointen_HK
dc.subjectGenetic networken_HK
dc.subjectNonlinear systemen_HK
dc.subjectSUM regulatory functionen_HK
dc.titleGenetic networks with SUM regulatory functions: Characterizing the equilibrium pointsen_HK
dc.typeConference_Paperen_HK
dc.identifier.openurlhttp://library.hku.hk:4550/resserv?sid=HKU:IR&issn=1062-922X&volume=&spage=4268&epage=4273&date=2009&atitle=Genetic+networks+with+SUM+regulatory+functions:+Characterizing+the+equilibrium+points-
dc.identifier.emailChesi, G:chesi@eee.hku.hken_HK
dc.identifier.authorityChesi, G=rp00100en_HK
dc.description.naturepublished_or_final_version-
dc.identifier.doi10.1109/ICSMC.2009.5346811en_HK
dc.identifier.scopuseid_2-s2.0-74849140169en_HK
dc.identifier.hkuros176764en_US
dc.relation.referenceshttp://www.scopus.com/mlt/select.url?eid=2-s2.0-74849140169&selection=ref&src=s&origin=recordpageen_HK
dc.identifier.spage4268en_HK
dc.identifier.epage4273en_HK
dc.identifier.isiWOS:000279574602130-
dc.publisher.placeUnited Statesen_HK
dc.description.otherThe 2009 IEEE International Conference on Systems, Man and Cybernetics (SMC 2009), San Antonio, TX., 11-14 October 2009. In Proceedings of IEEE International Conference on Systems, Man and Cybernetics, 2009, p. 4268-4273-
dc.identifier.scopusauthoridChesi, G=7006328614en_HK
dc.identifier.issnl1062-922X-

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