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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...
Autores principales: | Logsdon, Benjamin A, Hoffman, Gabriel E, Mezey, Jason G |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
BioMed Central
2012
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Materias: | |
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 |
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