Steady-state preserving reduction for genetic regulatory network models

Ranadip Pal, Sonal Bhattacharya

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

2 Scopus citations

Abstract

Fine-scale models based on stochastic differential equations can provide the most detailed description of the dynamics of gene expression and imbed, in principle, all the information about the biochemical reactions involved in gene interactions. However, the computational complexity involved in the design of optimal intervention strategies to favorably effect system dynamics for such detailed models is enormous. Hence, there is a need to design mappings from fine-scale models to coarse-scale models while maintaining sufficient structure for the problem at hand. In this paper, we propose a mapping from a fine-scale model represented by a Chemical Master Equation to a coarse-scale model represented by a Probabilistic Boolean Network that maintains the collapsed steady state distribution of the detailed model. We also evaluate the performance of the intervention strategy designed using the coarse scale model when applied to the fine-scale model.

Original languageEnglish
Title of host publication2009 22nd IEEE International Symposium on Computer-Based Medical Systems, CBMS 2009
DOIs
StatePublished - 2009
Event2009 22nd IEEE International Symposium on Computer-Based Medical Systems, CBMS 2009 - Albuquerque, NM, United States
Duration: Aug 2 2009Aug 5 2009

Publication series

NameProceedings - IEEE Symposium on Computer-Based Medical Systems
ISSN (Print)1063-7125

Conference

Conference2009 22nd IEEE International Symposium on Computer-Based Medical Systems, CBMS 2009
CountryUnited States
CityAlbuquerque, NM
Period08/2/0908/5/09

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