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BIOINFORMATICS
2005

Intervention in context-sensitive probabilistic Boolean networks

11 years 5 months ago
Intervention in context-sensitive probabilistic Boolean networks
Motivation: Intervention in a gene regulatory network is used to help it 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 essentially a finite collection of Boolean networks in which at any discrete time point the gene state vector transitions according to the rules of one of the constituent networks. For an instantaneously random PBN, the governing Boolean network is randomly chosen at each time point. For a context-sensitive PBN, the governing Boolean network remains fixed for an interval of time until a binary random variable determines a switch. The theory of automatic control has been previously applied to find optimal strategies for manipulating external (control) variables that affect the transition probabilities of an instantaneously random PBN to desirably affect its dynamic evolution over a finite time horizon. This paper extends the methods o...
Ranadip Pal, Aniruddha Datta, Michael L. Bittner,
Added 15 Dec 2010
Updated 15 Dec 2010
Type Journal
Year 2005
Where BIOINFORMATICS
Authors Ranadip Pal, Aniruddha Datta, Michael L. Bittner, Edward R. Dougherty
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