Coding-theoretic methods for reverse engineering of gene regulatory networks

Janis Dingel, Olgica Milenkovic

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Abstract

We provide an overview of known modeling approaches for gene regulatory networks, and introduce a new framework for analyzing such networks as probabilistic polynomial dynamical systems. In the latter context, we describe how list decoding methods for Reed-Muller codes can be used to cope with small DNA microarray sample set problems and measurement noise. We also describe possible future research directions at the interface of systems biology and coding theory, pertaining to probabilistic dynamical systems with memory and probabilistic factor graphs with local list-decoding components.

Original languageEnglish (US)
Title of host publication2008 IEEE Information Theory Workshop, ITW
Pages114-118
Number of pages5
DOIs
StatePublished - 2008
Event2008 IEEE Information Theory Workshop, ITW - Porto, Portugal
Duration: May 5 2008May 9 2008

Publication series

Name2008 IEEE Information Theory Workshop, ITW

Other

Other2008 IEEE Information Theory Workshop, ITW
Country/TerritoryPortugal
CityPorto
Period5/5/085/9/08

ASJC Scopus subject areas

  • Information Systems
  • Electrical and Electronic Engineering

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