Genetic regulatory networks and co-regulation of genes: A dynamic model based approach

Ashoka D. Polpitiya, J. Perren Cobb, Bijoy K. Ghosh

Research output: Chapter in Book/Report/Conference proceedingChapterpeer-review

Abstract

This paper describes a novel approach to obtain co-regulated genes and the underlying genetic regulatory network. Time evolution of gene expression levels is described using a discrete time classical state space dynamical system. The state transition matrix of the model can be used to obtain the adjacency matrix of the regulatory network. Gene expression values over time can also be written as a linear combination of the eigenmodes of the state transition matrix. Based on the relative participation of the eigenmodes, co-regulation is discussed.

Original languageEnglish
Title of host publicationLecture Notes in Control and Information Sciences
EditorsWijesuriya P. Dayawansa, Anders Lindquist, Yishao Zhou
PublisherSpringer-Verlag
Pages291-304
Number of pages14
ISBN (Print)9783540239536
DOIs
StatePublished - 2005

Publication series

NameLecture Notes in Control and Information Sciences
Volume321
ISSN (Print)0170-8643

Keywords

  • Co-regulation
  • Dynamic models
  • Eigenvalues
  • Genes
  • Karhunen-Loève decomposition
  • Microarrays
  • Regulatory networks
  • Reverse engineering

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