Detection of attractors of large Boolean networks via exhaustive enumeration of appropriate subspaces of the state space

BACKGROUND: Boolean models are increasingly used to study biological signaling networks. In a Boolean network, nodes represent biological entities such as genes, proteins or protein complexes, and edges indicate activating or inhibiting influences of one node towards another. Depending on the input...

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Detalles Bibliográficos
Autores principales: Berntenis, Nikolaos, Ebeling, Martin
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2013
Materias:
Software
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3882777/
https://www.ncbi.nlm.nih.gov/pubmed/24330355
http://dx.doi.org/10.1186/1471-2105-14-361

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3882777/
https://www.ncbi.nlm.nih.gov/pubmed/24330355
http://dx.doi.org/10.1186/1471-2105-14-361

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