Stability analysis of a dynamical model representing gene regulatory networks
buir.contributor.author | Özbay, Hitay | |
dc.citation.epage | 196 | en_US |
dc.citation.issueNumber | 14 | en_US |
dc.citation.spage | 191 | en_US |
dc.citation.volumeNumber | 10 | en_US |
dc.contributor.author | Ahsen, M. E. | en_US |
dc.contributor.author | Özbay, Hitay | en_US |
dc.contributor.author | Niculescu, S. I. | en_US |
dc.coverage.spatial | Northeastern University, Boston, USA. | en_US |
dc.date.accessioned | 2016-02-08T12:12:54Z | |
dc.date.available | 2016-02-08T12:12:54Z | |
dc.date.issued | 2012 | en_US |
dc.department | Department of Electrical and Electronics Engineering | en_US |
dc.description | Part of special issue: 10th IFAC Workshop on Time Delay Systems | en_US |
dc.description | Conference name: Proceedings of the 10-th IFAC Workshop on Time Delay Systems The International Federation of Automatic Control | en_US |
dc.description | Date of Conference: 22-24 June 2012 | en_US |
dc.description.abstract | In this paper we perform stability analysis of a class of cyclic biological processes involving time delayed feedback. More precisely, we analyze the genetic regulatory network having nonlinearities with negative Schwarzian derivatives. We derive a set of conditions implying global stability of the genetic regulatory network under positive feedback. As a special case, we also consider homogenous genetic regulatory networks and obtain an appropriate stability condition which depends only on the parameters of the nonlinearity function. © 2012 IFAC. | en_US |
dc.description.provenance | Made available in DSpace on 2016-02-08T12:12:54Z (GMT). No. of bitstreams: 1 bilkent-research-paper.pdf: 70227 bytes, checksum: 26e812c6f5156f83f0e77b261a471b5a (MD5) Previous issue date: 2012 | en |
dc.identifier.doi | 10.3182/20120622-3-US-4021.00020 | en_US |
dc.identifier.issn | 1474-6670 | |
dc.identifier.uri | http://hdl.handle.net/11693/28165 | |
dc.language.iso | English | en_US |
dc.relation.isversionof | https://doi.org/10.3182/20120622-3-US-4021.00020 | en_US |
dc.source.title | International Federation of Automatic Control IFAC Proceedings Volumes | en_US |
dc.subject | Asymptotic stability | en_US |
dc.subject | Gene regulatory networks | en_US |
dc.subject | Hill functions | en_US |
dc.subject | Nonlinear time delay networks | en_US |
dc.subject | Schwarzian derivatives | en_US |
dc.subject | Biological process | en_US |
dc.subject | Dynamical model | en_US |
dc.subject | Gene regulatory networks | en_US |
dc.subject | Genetic regulatory networks | en_US |
dc.subject | Global stability | en_US |
dc.subject | Hill function | en_US |
dc.subject | Nonlinear time delays | en_US |
dc.subject | Nonlinearity function | en_US |
dc.subject | Schwarzian derivative | en_US |
dc.subject | Stability analysis | en_US |
dc.subject | Stability condition | en_US |
dc.subject | Time-delayed feedback | en_US |
dc.subject | Asymptotic stability | en_US |
dc.subject | Genes | en_US |
dc.subject | Time delay | en_US |
dc.title | Stability analysis of a dynamical model representing gene regulatory networks | en_US |
dc.type | Conference Paper | en_US |
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