On the underlying assumptions of threshold Boolean networks as a model for genetic regulatory network behavior

On the underlying assumptions of threshold Boolean networks as a model for genetic regulatory network behavior

Boolean networks (BoN) are relatively simple and interpretable models of gene regulatorynetworks. Specifying these models with fewer parameters while retaining their ability to describe complex regulatory relationships is an ongoing methodological challenge. Additionally, extending these models to i...

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Bibliographic Details
Main Authors: Van eTran, Matthew Nicholson McCall, Helene eMcMurray, Anthony eAlmudevar
Format: Article
Language:English
Published: Frontiers Media S.A. 2013-12-01
Series:Frontiers in Genetics
Subjects:
steady state
attractor
genetic regulatory network
Boolean network
state augmentation
feedback loop
Online Access:http://journal.frontiersin.org/Journal/10.3389/fgene.2013.00263/full

Internet

http://journal.frontiersin.org/Journal/10.3389/fgene.2013.00263/full

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