Control in a family of Boolean networks
- Additional Document Info
- View All
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
2006 IEEE INTERNATIONAL WORKSHOP ON GENOMIC SIGNAL PROCESSING AND STATISTICS
author list (cited authors)
Choudhary, A., Datta, A., Bittner, M. L., & Dougherty, E. R.
complete list of authors
Choudhary, Ashish||Datta, Aniruddha||Bittner, Michael L||Dougherty, Edward R