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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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| 出版年: | Bioinformatics |
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| 主要な著者: | , , |
| フォーマット: | Artigo |
| 言語: | Inglês |
| 出版事項: |
Oxford University Press
2016
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| 主題: | |
| オンライン･アクセス: | 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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