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Bayesian Hierarchical Varying-sparsity Regression Models with Application to Cancer Proteogenomics
Identifying patient-specific prognostic biomarkers is of critical importance in developing personalized treatment for clinically and molecularly heterogeneous diseases such as cancer. In this article, we propose a novel regression framework, Bayesian hierarchical varying-sparsity regression (BEHAVIO...
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| Publicado en: | J Am Stat Assoc |
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| Autores principales: | , , , , |
| Formato: | Artigo |
| Lenguaje: | Inglês |
| Publicado: |
2018
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| Materias: | |
| Acceso en línea: | https://ncbi.nlm.nih.gov/pmc/articles/PMC6552682/ https://ncbi.nlm.nih.gov/pubmed/31178611 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1080/01621459.2018.1434529 |
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