Partially non-homogeneous dynamic Bayesian networks based on Bayesian regression models with partitioned design matrices

MOTIVATION: Non-homogeneous dynamic Bayesian networks (NH-DBNs) are a popular modelling tool for learning cellular networks from time series data. In systems biology, time series are often measured under different experimental conditions, and not rarely only some network interaction parameters depen...

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Detalles Bibliográficos
Autores principales: Shafiee Kamalabad, Mahdi, Heberle, Alexander Martin, Thedieck, Kathrin, Grzegorczyk, Marco
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Oxford University Press 2019
Materias:
Original Papers
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6581439/
https://www.ncbi.nlm.nih.gov/pubmed/30395165
http://dx.doi.org/10.1093/bioinformatics/bty917

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6581439/
https://www.ncbi.nlm.nih.gov/pubmed/30395165
http://dx.doi.org/10.1093/bioinformatics/bty917

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