Empowering differential networks using Bayesian analysis

Differential networks (DN) are important tools for modeling the changes in conditional dependencies between multiple samples. A Bayesian approach for estimating DNs, from the classical viewpoint, is introduced with a computationally efficient threshold selection for graphical model determination. Th...

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Detalles Bibliográficos
Autores principales: Smith, Jarod, Arashi, Mohammad, Bekker, Andriëtte
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Public Library of Science 2022
Materias:
Research Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8789149/
https://www.ncbi.nlm.nih.gov/pubmed/35077451
http://dx.doi.org/10.1371/journal.pone.0261193

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8789149/
https://www.ncbi.nlm.nih.gov/pubmed/35077451
http://dx.doi.org/10.1371/journal.pone.0261193

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