REDUCTION COST FOR BOOLEAN NETWORKS WITH PERTURBATION Conference Paper

abstract

• A serious obstacle in applying computational models of genomic regulation is their complexity. Thus, there is a need for size reducing mappings that preserve biologically meaningful properties of the models. There are several available reduction mappings for the PBN model that are capable of preserving important structural or dynamical properties of the network. However, the cost of applying such mappings has been largely ignored. This paper studies how the notion of stochastic complexity can be used to measure the cost of reduction in the case of a specific class of constrained reduction mappings. 2008 IEEE.

name of conference

• 2008 IEEE International Workshop on Genomic Signal Processing and Statistics

authors

• Ivanov, Ivan

published proceedings

• 2008 IEEE International Workshop on Genomic Signal Processing and Statistics

author list (cited authors)

• Dougherty, J., & Ivanov, I.

citation count

• 2

complete list of authors

• Dougherty, John||Ivanov, Ivan

publication date

• January 2008

publisher

• Institute of Electrical and Electronics Engineers (IEEE)  Publisher

Digital Object Identifier (DOI)

• 10.1109/gensips.2008.4555674

International Standard Book Number (ISBN) 13

• 9781424423729

start page

• 1

end page

• 3

URL

• http://dx.doi.org/10.1109/gensips.2008.4555674