Attractor-Specific and Common Expression Values in Random Boolean Network Models (with a Preliminary Look at Single-Cell Data)

Attractor-Specific and Common Expression Values in Random Boolean Network Models (with a Preliminary Look at Single-Cell Data)

Random Boolean Networks (RBNs for short) are strongly simplified models of gene regulatory networks (GRNs), which have also been widely studied as abstract models of complex systems and have been used to simulate different phenomena. We define the “common sea” (CS) as the set of nodes that take the...

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Bibliographic Details
Main Authors: Marco Villani, Gianluca D’Addese, Stuart A. Kauffman, Roberto Serra
Format: Article
Language:English
Published: MDPI AG 2022-02-01
Series:Entropy
Subjects:
Random Boolean Networks
gene regulatory networks
critical systems
criticality principle
attractors
single-cell data
Online Access:https://www.mdpi.com/1099-4300/24/3/311

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