A Bayesian approach for inducing sparsity in generalized linear models with multi-category response

BACKGROUND: The dimension and complexity of high-throughput gene expression data create many challenges for downstream analysis. Several approaches exist to reduce the number of variables with respect to small sample sizes. In this study, we utilized the Generalized Double Pareto (GDP) prior to indu...

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Detalles Bibliográficos
Autores principales: Madahian, Behrouz, Roy, Sujoy, Bowman, Dale, Deng, Lih Y, Homayouni, Ramin
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2015
Materias:
Proceedings
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4597416/
https://www.ncbi.nlm.nih.gov/pubmed/26423345
http://dx.doi.org/10.1186/1471-2105-16-S13-S13

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4597416/
https://www.ncbi.nlm.nih.gov/pubmed/26423345
http://dx.doi.org/10.1186/1471-2105-16-S13-S13

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