• About
  • Policies
  • What is open access
  • Library
  • Contact
Advanced search
      View Item 
      •   BUIR Home
      • Scholarly Publications
      • Faculty of Engineering
      • Department of Electrical and Electronics Engineering
      • View Item
      •   BUIR Home
      • Scholarly Publications
      • Faculty of Engineering
      • Department of Electrical and Electronics Engineering
      • View Item
      JavaScript is disabled for your browser. Some features of this site may not work without it.

      Analysis of a gene regulatory network model with time delay using the secant condition

      Thumbnail
      View / Download
      946.9 Kb
      Author(s)
      Ahsen, M. E.
      Özbay, Hitay
      Nicolescu, Silviu-Iulian
      Date
      2016-10-04
      Source Title
      IEEE Life Sciences Letters
      Print ISSN
      2332-7685
      Publisher
      IEEE
      Volume
      2
      Issue
      2
      Pages
      5 - 8
      Language
      English
      Type
      Article
      Item Usage Stats
      197
      views
      158
      downloads
      Abstract
      A cyclic model for gene regulatory networks with time delayed negative feedback is analyzed using an extension of the so-called secant condition, which is originally developed for systems without time delays. It is shown that suf cient conditions obtained earlier for delay-independent local stability can be further improved for homogenous networks to obtain delay-dependent necessary and suf cient conditions, which are expressed in terms of the parameters of the Hill-type nonlinearity.
      Keywords
      Gene regulatory networks (GRNs)
      Local stability
      Negative feedback
      Secant condition
      Time delay systems
      Permalink
      http://hdl.handle.net/11693/48412
      Published Version (Please cite this version)
      https://doi.org/10.1109/LLS.2016.2615091
      Collections
      • Department of Electrical and Electronics Engineering 3868
      Show full item record

      Browse

      All of BUIRCommunities & CollectionsTitlesAuthorsAdvisorsBy Issue DateKeywordsTypeDepartmentsCoursesThis CollectionTitlesAuthorsAdvisorsBy Issue DateKeywordsTypeDepartmentsCourses

      My Account

      Login

      Statistics

      View Usage StatisticsView Google Analytics Statistics

      Bilkent University

      If you have trouble accessing this page and need to request an alternate format, contact the site administrator. Phone: (312) 290 2976
      © Bilkent University - Library IT

      Contact Us | Send Feedback | Off-Campus Access | Admin | Privacy