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Diagnosis of multiple cancer types by shrunken centroids of gene expression
We have devised an approach to cancer class prediction from gene expression profiling, based on an enhancement of the simple nearest prototype (centroid) classifier. We shrink the prototypes and hence obtain a classifier that is often more accurate than competing methods. Our method of “nearest shru...
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| Auteurs principaux: | , , , |
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| Format: | Artigo |
| Langue: | Inglês |
| Publié: |
The National Academy of Sciences
2002
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| Sujets: | |
| Accès en ligne: | https://ncbi.nlm.nih.gov/pmc/articles/PMC124443/ https://ncbi.nlm.nih.gov/pubmed/12011421 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1073/pnas.082099299 |
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