TY - GEN
T1 - Coding-theoretic methods for reverse engineering of gene regulatory networks
AU - Dingel, Janis
AU - Milenkovic, Olgica
PY - 2008
Y1 - 2008
N2 - 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.
AB - 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.
UR - http://www.scopus.com/inward/record.url?scp=51849132042&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=51849132042&partnerID=8YFLogxK
U2 - 10.1109/ITW.2008.4578633
DO - 10.1109/ITW.2008.4578633
M3 - Conference contribution
AN - SCOPUS:51849132042
SN - 9781424422708
T3 - 2008 IEEE Information Theory Workshop, ITW
SP - 114
EP - 118
BT - 2008 IEEE Information Theory Workshop, ITW
T2 - 2008 IEEE Information Theory Workshop, ITW
Y2 - 5 May 2008 through 9 May 2008
ER -