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Conference Paper: A linear control model for gene intervention in a genetic regulatory network

TitleA linear control model for gene intervention in a genetic regulatory network
Authors
Zhang, SQNg, MKChing, WKAkutsu, T
KeywordsGenetic regulatory network
Linear control
Minimization problem
Probabilistic boolean network
Issue Date2005
PublisherIEEE.
Citation
2005 Ieee International Conference On Granular Computing, 2005, v. 2005, p. 354-358 How to Cite?
DOI: http://dx.doi.org/10.1109/GRC.2005.1547303
AbstractIn this paper, we propose a linear control model for gene intervention in a genetic regulatory network. At each time step, finite controls are allowed to drive the network states to some target states. The objective is to achieve a target state probability distribution with a minimal control cost The model can be formulated as a minimization problem with integer variables and continuous variables. Our experimental results show that the control model and the algorithm are efficient for gene intervention problems in genetic networks. © 2005 IEEE.
Persistent Identifierhttp://hdl.handle.net/10722/46598
References
References in Scopus

 

DC FieldValueLanguage
dc.contributor.authorZhang, SQen_HK
dc.contributor.authorNg, MKen_HK
dc.contributor.authorChing, WKen_HK
dc.contributor.authorAkutsu, Ten_HK
dc.date.accessioned2007-10-30T06:53:52Z-
dc.date.available2007-10-30T06:53:52Z-
dc.date.issued2005en_HK
dc.identifier.citation2005 Ieee International Conference On Granular Computing, 2005, v. 2005, p. 354-358en_HK
dc.identifier.urihttp://hdl.handle.net/10722/46598-
dc.description.abstractIn this paper, we propose a linear control model for gene intervention in a genetic regulatory network. At each time step, finite controls are allowed to drive the network states to some target states. The objective is to achieve a target state probability distribution with a minimal control cost The model can be formulated as a minimization problem with integer variables and continuous variables. Our experimental results show that the control model and the algorithm are efficient for gene intervention problems in genetic networks. © 2005 IEEE.en_HK
dc.format.extent982778 bytes-
dc.format.extent1785 bytes-
dc.format.extent4654 bytes-
dc.format.mimetypeapplication/pdf-
dc.format.mimetypetext/plain-
dc.format.mimetypetext/plain-
dc.languageengen_HK
dc.publisherIEEE.en_HK
dc.relation.ispartof2005 IEEE International Conference on Granular Computingen_HK
dc.rights©2005 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.subjectGenetic regulatory networken_HK
dc.subjectLinear controlen_HK
dc.subjectMinimization problemen_HK
dc.subjectProbabilistic boolean networken_HK
dc.titleA linear control model for gene intervention in a genetic regulatory networken_HK
dc.typeConference_Paperen_HK
dc.identifier.emailChing, WK:wching@hku.hken_HK
dc.identifier.authorityChing, WK=rp00679en_HK
dc.description.naturepublished_or_final_versionen_HK
dc.identifier.doi10.1109/GRC.2005.1547303en_HK
dc.identifier.scopuseid_2-s2.0-33845286525en_HK
dc.relation.referenceshttp://www.scopus.com/mlt/select.url?eid=2-s2.0-33845286525&selection=ref&src=s&origin=recordpageen_HK
dc.identifier.volume2005en_HK
dc.identifier.spage354en_HK
dc.identifier.epage358en_HK
dc.identifier.scopusauthoridZhang, SQ=10143093600en_HK
dc.identifier.scopusauthoridNg, MK=7202076432en_HK
dc.identifier.scopusauthoridChing, WK=13310265500en_HK
dc.identifier.scopusauthoridAkutsu, T=7102080520en_HK

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