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Regularized binormal ROC method in disease classification using microarray data
BACKGROUND: An important application of microarrays is to discover genomic biomarkers, among tens of thousands of genes assayed, for disease diagnosis and prognosis. Thus it is of interest to develop efficient statistical methods that can simultaneously identify important biomarkers from such high-t...
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| Autors principals: | , , |
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| Format: | Artigo |
| Idioma: | Inglês |
| Publicat: |
BioMed Central
2006
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| Matèries: | |
| Accés en línia: | https://ncbi.nlm.nih.gov/pmc/articles/PMC1513612/ https://ncbi.nlm.nih.gov/pubmed/16684357 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1186/1471-2105-7-253 |
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