Intervention in a family of Boolean networks

9 years 3 months ago
Intervention in a family of Boolean networks
Motivation: 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 a collection of Boolean networks in which the gene state vector transitions according to the rules of one of the constituent networks and where network choice is governed by a selection distribution. The theory of automatic control has been applied to find optimal strategies for manipulating external control variables that affect the transition probabilities to desirably affect dynamic evolution over a finite time horizon. In this paper we treat a case in which we lack the governing probability structurefor Booleannetwork selection, so we simply have a family of Boolean networks, but where these networks possessacommonattractorstructure.Thiscorrespondstothesituation in which network construction is treated as an ill-posed inverse problem in ...
Ashish Choudhary, Aniruddha Datta, Michael L. Bitt
Added 10 Dec 2010
Updated 10 Dec 2010
Type Journal
Year 2006
Authors Ashish Choudhary, Aniruddha Datta, Michael L. Bittner, Edward R. Dougherty
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