A Bayesian approach for structure learning in oscillating regulatory networks

Motivation: Oscillations lie at the core of many biological processes, from the cell cycle, to circadian oscillations and developmental processes. Time-keeping mechanisms are essential to enable organisms to adapt to varying conditions in environmental cycles, from day/night to seasonal. Transcripti...

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Detalles Bibliográficos
Autores principales: Trejo Banos, Daniel, Millar, Andrew J., Sanguinetti, Guido
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Oxford University Press 2015
Materias:
Original Papers
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4817140/
https://www.ncbi.nlm.nih.gov/pubmed/26177966
http://dx.doi.org/10.1093/bioinformatics/btv414

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4817140/
https://www.ncbi.nlm.nih.gov/pubmed/26177966
http://dx.doi.org/10.1093/bioinformatics/btv414

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