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Discovering gene regulatory networks of multiple phenotypic groups using dynamic Bayesian networks

Dynamic Bayesian networks (DBNs) can be used for the discovery of gene regulatory networks (GRNs) from time series gene expression data. Here, we suggest a strategy for learning DBNs from gene expression data by employing a Bayesian approach that is scalable to large networks and is targeted at lear...

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Detalles Bibliográficos
Autores principales: Suter, Polina, Kuipers, Jack, Beerenwinkel, Niko
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Oxford University Press 2022
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9294428/
https://www.ncbi.nlm.nih.gov/pubmed/35679575
http://dx.doi.org/10.1093/bib/bbac219

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