A New Sensitivity Measure for Probabilistic Boolean Networks based on Steady-State Distributions Conference Paper

abstract

• Probabilistic Boolean networks model biological processes with the network dynamics. This paper studies the network sensitivity with respect to perturbations to networks, including regulatory rules and the involved parameters, in the long run. We define the network sensitivity based on the steady-state distributions of probabilistic Boolean networks as their underlying model is a finite Markov chain. The steady-state distribution reflects the long-run behavior of the network and the change of steady-state distribution caused by possible perturbations is the key measure for intervention. 2008 IEEE.

name of conference

• 2008 IEEE International Conference on Bioinformatics and Biomeidcine Workshops

authors

• Dougherty, Edward
• Qian, Xiaoning

published proceedings

• 2008 IEEE INTERNATIONAL CONFERENCE ON BIOINFORMATICS AND BIOMEDICINE WORKSHOPS, PROCEEDINGS

author list (cited authors)

• Qian, X., & Dougherty, E. R.

citation count

• 0

complete list of authors

• Qian, Xiaoning||Dougherty, Edward R

publication date

• November 2008

publisher

• Institute of Electrical and Electronics Engineers (IEEE)  Publisher

published in

• n2163-6966ISSN  Journal

keywords

• 31 Biological Sciences
• 3101 Biochemistry And Cell Biology

Digital Object Identifier (DOI)

• 10.1109/BIBMW.2008.4686227

International Standard Book Number (ISBN) 13

• 978-1-4244-2890-8

start page

• 136

end page

• 139

URL

• http%3A%2F%2Fdx.doi.org%2F10.1109%2Fbibmw.2008.4686227