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Identification of bifurcation transitions in biological regulatory networks using Answer-Set Programming
BACKGROUND: Numerous cellular differentiation processes can be captured using discrete qualitative models of biological regulatory networks. These models describe the temporal evolution of the state of the network subject to different competing transitions, potentially leading the system to differen...
Autores principales: | Fitime, Louis Fippo, Roux, Olivier, Guziolowski, Carito, Paulevé, Loïc |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
BioMed Central
2017
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5520421/ https://www.ncbi.nlm.nih.gov/pubmed/28736575 http://dx.doi.org/10.1186/s13015-017-0110-3 |
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