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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...
| Autores principales: | , , , |
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| Formato: | Texto |
| Lenguaje: | English |
| Publicado: |
BioMed Central
2010
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| Materias: | |
| 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 |