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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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Autors principals: Logsdon, Benjamin A, Hoffman, Gabriel E, Mezey, Jason G
Format: Artigo
Idioma:Inglês
Publicat: BioMed Central 2012
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Accés en línia:https://ncbi.nlm.nih.gov/pmc/articles/PMC3338387/
https://ncbi.nlm.nih.gov/pubmed/22471599
https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1186/1471-2105-13-53
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