Altering steady-state probabilities in Probabilistic Boolean Networks Conference Paper

abstract

• External control of a genetic regulatory network is used for the purpose of avoiding undesirable states, such as those associated with disease. Heretofore, intervention has focused on finite-horizon control, i.e., control over a small number of stages. This paper considers the design of optimal infinite-horizon control for Probabilistic Boolean Networks (PBNs). The stationary policy obtained is independent of time and dependent on the current state. The average-cost-per-stage problem formulation is used to generate the stationary policy for a PBN constructed from melanoma gene-expression data. The results show that the stationary policiy obtained is capable of shifting the probability mass of the stationary distribution from undesirable states to desirable ones. 2006 IEEE.

name of conference

• 2006 IEEE International Workshop on Genomic Signal Processing and Statistics

authors

• Datta, Aniruddha
• Dougherty, Edward

published proceedings

• 2006 IEEE INTERNATIONAL WORKSHOP ON GENOMIC SIGNAL PROCESSING AND STATISTICS

author list (cited authors)

• Pal, R., Datta, A., & Dougherty, E. R.

citation count

• 0

complete list of authors

• Pal, Ranadip||Datta, Aniruddha||Dougherty, Edward R

publication date

• May 2006

publisher

• Institute of Electrical and Electronics Engineers (IEEE)  Publisher

published in

• IEEE International Workshop on Genomic Signal Processing and Statistics : [proceedings]. IEEE International Workshop on Genomic Signal Processing and Statistics  Journal

keywords

• 31 Biological Sciences
• 3101 Biochemistry And Cell Biology
• Genetics

Digital Object Identifier (DOI)

• 10.1109/GENSIPS.2006.353163

International Standard Book Number (ISBN) 10

• 1424403855

International Standard Book Number (ISBN) 13

• 978-1-4244-0384-4

start page

• 75

end page

• +

URL

• http%3A%2F%2Fdx.doi.org%2F10.1109%2Fgensips.2006.353163