On finite-horizon control of genetic regulatory networks with multiple hard-constraints

BACKGROUND: Probabilistic Boolean Networks (PBNs) provide a convenient tool for studying genetic regulatory networks. There are three major approaches to develop intervention strategies: (1) resetting the state of the PBN to a desirable initial state and letting the network evolve from there, (2) ch...

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Detalles Bibliográficos
Autores principales: Yang, Cong, Wai-Ki, Ching, Nam-Kiu, Tsing, Ho-Yin, Leung
Formato: Texto
Lenguaje:English
Publicado: BioMed Central 2010
Materias:
Proceedings
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC2982688/
https://www.ncbi.nlm.nih.gov/pubmed/20840728
http://dx.doi.org/10.1186/1752-0509-4-S2-S14

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC2982688/
https://www.ncbi.nlm.nih.gov/pubmed/20840728
http://dx.doi.org/10.1186/1752-0509-4-S2-S14

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