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Bayesian variable selection for binary outcomes in high-dimensional genomic studies using non-local priors

Motivation: The advent of new genomic technologies has resulted in the production of massive data sets. Analyses of these data require new statistical and computational methods. In this article, we propose one such method that is useful in selecting explanatory variables for prediction of a binary r...

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Detalles Bibliográficos
Autores principales: Nikooienejad, Amir, Wang, Wenyi, Johnson, Valen E.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Oxford University Press 2016
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4848399/
https://www.ncbi.nlm.nih.gov/pubmed/26740524
http://dx.doi.org/10.1093/bioinformatics/btv764