Control in a family of Boolean networks Conference Paper

abstract

• Intervention in a gene regulatory network is used to avoid undesirable states, such as those associated with a disease. Several types of intervention have been studied in the framework of a probabilistic Boolean network (PBN), which is obtained by joining several Boolean networks (BN) using a probabilistic structure. In this work we treat a case in which we lack this governing probability structure for Boolean network selection, so we simply have a family of Boolean networks, where these networks possess a common attractor structure matching the data states, which are assumed to arise from sampling the steady state of the real biological network. 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)

• Choudhary, A., Datta, A., Bittner, M. L., & Dougherty, E. R.

citation count

• 1

complete list of authors

• Choudhary, Ashish||Datta, Aniruddha||Bittner, Michael L||Dougherty, Edward R

publication date

• May 2006

publisher

• IEEE  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

Digital Object Identifier (DOI)

• 10.1109/GENSIPS.2006.353133

International Standard Book Number (ISBN) 10

• 1424403855

International Standard Book Number (ISBN) 13

• 978-1-4244-0384-4

start page

• 15

end page

• +