TY - GEN
T1 - Effect of coarse-scale modeling on control outcome of genetic regulatory networks
AU - Pal, Ranadip
AU - Bhattacharya, Sonal
N1 - Copyright:
Copyright 2020 Elsevier B.V., All rights reserved.
PY - 2010
Y1 - 2010
N2 - Fine-scale models represented by stochastic master equations can provide a very accurate description of the real genetic regulatory system but inadequate time series data and technological limitations on cell specific measurements in cancer related experiments prevent the accurate inference of the parameters of such a fine-scale model. Furthermore, the computational complexity involved in the design of optimal intervention strategies to favorably effect system dynamics for such detailed models is enormous. Thus, it is imperative to study the effect of intervention policies designed using coarse-scale models when applied to the fine-scale models. In this paper, we map a fine-scale model represented by a Stochastic Master Equation to a coarse-scale model represented by a Probabilistic Boolean Network and derive bounds on the performance of the intervention strategy designed using the coarse scale model when applied to the fine-scale model.
AB - Fine-scale models represented by stochastic master equations can provide a very accurate description of the real genetic regulatory system but inadequate time series data and technological limitations on cell specific measurements in cancer related experiments prevent the accurate inference of the parameters of such a fine-scale model. Furthermore, the computational complexity involved in the design of optimal intervention strategies to favorably effect system dynamics for such detailed models is enormous. Thus, it is imperative to study the effect of intervention policies designed using coarse-scale models when applied to the fine-scale models. In this paper, we map a fine-scale model represented by a Stochastic Master Equation to a coarse-scale model represented by a Probabilistic Boolean Network and derive bounds on the performance of the intervention strategy designed using the coarse scale model when applied to the fine-scale model.
UR - http://www.scopus.com/inward/record.url?scp=77957763441&partnerID=8YFLogxK
U2 - 10.1109/acc.2010.5531236
DO - 10.1109/acc.2010.5531236
M3 - Conference contribution
AN - SCOPUS:77957763441
SN - 9781424474264
T3 - Proceedings of the 2010 American Control Conference, ACC 2010
SP - 5942
EP - 5947
BT - Proceedings of the 2010 American Control Conference, ACC 2010
PB - IEEE Computer Society
ER -