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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Detalles Bibliográficos
Autores principales: Villani, Marco, D’Addese, Gianluca, Kauffman, Stuart A., Serra, Roberto
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2022
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8947259/
https://www.ncbi.nlm.nih.gov/pubmed/35327822
http://dx.doi.org/10.3390/e24030311

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8947259/
https://www.ncbi.nlm.nih.gov/pubmed/35327822
http://dx.doi.org/10.3390/e24030311

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