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Genetic network identification using convex programming
Departmental Papers (ESE)
  • A Julius, University of Pennsylvania
  • Michael Zavlanos, University of Pennsylvania
  • S Boyd, Stanford University
  • George J Pappas, University of Pennsylvania
Document Type
Working Paper
Date of this Version
Copyright 2009 IEEE. This material is posted here with permission of the IEEE. Such permission of the IEEE does not in any way imply IEEE endorsement of any of the University of Pennsylvania's products or services. Internal or 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 must be obtained from the IEEE by writing to By choosing to view this document, you agree to all provisions of the copyright laws protecting it.

Reprinted from:
Julius, A.; Zavlanos, M.; Boyd, S.; Pappas, G.J., "Genetic network identification using convex programming," Systems Biology, IET , vol.3, no.3, pp.155-166, May 2009


  • biology computing,
  • genetics,
  • microorganisms,
  • molecular biophysics,
  • organic compounds,
  • Drosophila melanogaster,
  • Escherichia coli,
  • LO minimisation,
  • SOS pathway,
  • cell substances,
  • convex programming relaxation,
  • gene regulatory networks,
  • gene transcription,
  • gene translation,
  • genetic network identification,
  • genetic perturbation experiment,
  • mRNA concentration,
  • segmentation polarity network,
  • systems biology
Citation Information
A Julius, Michael Zavlanos, S Boyd and George J Pappas. "Genetic network identification using convex programming" (2009)
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