Mouse obesity network reconstruction with a variational Bayes algorithm to employ aggressive false positive control

BACKGROUND: We propose a novel variational Bayes network reconstruction algorithm to extract the most relevant disease factors from high-throughput genomic data-sets. Our algorithm is the only scalable method for regularized network recovery that employs Bayesian model averaging and that can interna...

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Detalles Bibliográficos
Autores principales: Logsdon, Benjamin A, Hoffman, Gabriel E, Mezey, Jason G
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2012
Materias:
Methodology Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3338387/
https://www.ncbi.nlm.nih.gov/pubmed/22471599
http://dx.doi.org/10.1186/1471-2105-13-53

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3338387/
https://www.ncbi.nlm.nih.gov/pubmed/22471599
http://dx.doi.org/10.1186/1471-2105-13-53

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