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Control in a family of Boolean networks

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4 Author(s)
Choudhary, A. ; Texas A & M Univ., College Station, TX ; Datta, A. ; Bittner, M.L. ; Dougherty, E.R.

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.

Published in:

Genomic Signal Processing and Statistics, 2006. GENSIPS '06. IEEE International Workshop on

Date of Conference:

28-30 May 2006