DREAM3: Network Inference Using Dynamic Context Likelihood of Relatedness and the Inferelator

BACKGROUND: Many current works aiming to learn regulatory networks from systems biology data must balance model complexity with respect to data availability and quality. Methods that learn regulatory associations based on unit-less metrics, such as Mutual Information, are attractive in that they sca...

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Detalles Bibliográficos
Autores principales: Madar, Aviv, Greenfield, Alex, Vanden-Eijnden, Eric, Bonneau, Richard
Formato: Texto
Lenguaje:English
Publicado: Public Library of Science 2010
Materias:
Research Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC2842436/
https://www.ncbi.nlm.nih.gov/pubmed/20339551
http://dx.doi.org/10.1371/journal.pone.0009803

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC2842436/
https://www.ncbi.nlm.nih.gov/pubmed/20339551
http://dx.doi.org/10.1371/journal.pone.0009803

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