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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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| Publicado no: | Bioinformatics |
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| Main Authors: | , , |
| Formato: | Artigo |
| Idioma: | Inglês |
| Publicado em: |
Oxford University Press
2016
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| Assuntos: | |
| Acesso em linha: | https://ncbi.nlm.nih.gov/pmc/articles/PMC4848399/ https://ncbi.nlm.nih.gov/pubmed/26740524 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1093/bioinformatics/btv764 |
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