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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...
| Autores principales: | , , |
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| Formato: | Online Artículo Texto |
| Lenguaje: | English |
| Publicado: |
Oxford University Press
2016
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| 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 |