State reduction for network intervention in probabilistic Boolean networks
نویسندگان
چکیده
منابع مشابه
State reduction for network intervention in probabilistic Boolean networks
MOTIVATION A key goal of studying biological systems is to design therapeutic intervention strategies. Probabilistic Boolean networks (PBNs) constitute a mathematical model which enables modeling, predicting and intervening in their long-run behavior using Markov chain theory. The long-run dynamics of a PBN, as represented by its steady-state distribution (SSD), can guide the design of effectiv...
متن کاملIntervention 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 rul...
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Probabilistic Boolean networks (PBNs) comprise a model describing a directed graph with rule-based dependences between its nodes. The rules are selected, based on a given probability distribution which provides a flexibility when dealing with the uncertainty which is typical for genetic regulatory networks. Given the computational complexity of the model, the characterization of mappings reduci...
متن کاملSteady-state probabilities for attractors in probabilistic Boolean networks
Boolean networks form a class of disordered dynamical systems that have been studied in physics owing to their relationships with disordered systems in statistical mechanics and in biology as models of genetic regulatory networks. Recently they have been generalized to probabilistic Boolean networks (PBNs) to facilitate the incorporation of uncertainty in the model and to represent cellular con...
متن کاملIntervention in Context-Sensitive Probabilistic Boolean Networks Revisited
An approximate representation for the state space of a context-sensitive probabilistic Boolean network has previously been proposed and utilized to devise therapeutic intervention strategies. Whereas the full state of a context-sensitive probabilistic Boolean network is specified by an ordered pair composed of a network context and a gene-activity profile, this approximate representation collap...
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ژورنال
عنوان ژورنال: Bioinformatics
سال: 2010
ISSN: 1460-2059,1367-4803
DOI: 10.1093/bioinformatics/btq575