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Omnibus Risk Assessment via Accelerated Failure Time Kernel Machine Modeling
Integrating genomic information with traditional clinical risk factors to improve the prediction of disease outcomes could profoundly change the practice of medicine. However, the large number of potential markers and possible complexity of the relationship between markers and disease make it diffic...
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| Autores principales: | , |
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| Formato: | Artigo |
| Lenguaje: | Inglês |
| Publicado: |
2013
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| Materias: | |
| Acceso en línea: | https://ncbi.nlm.nih.gov/pmc/articles/PMC3869038/ https://ncbi.nlm.nih.gov/pubmed/24328713 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1111/biom.12098 |
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