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...

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Detalles Bibliográficos
Autores principales: Fitime, Louis Fippo, Roux, Olivier, Guziolowski, Carito, Paulevé, Loïc
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2017
Materias:
Research
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

Internet

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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