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Multiclass classification of microarray data with repeated measurements: application to cancer
Prediction of the diagnostic category of a tissue sample from its gene-expression profile and selection of relevant genes for class prediction have important applications in cancer research. We have developed the uncorrelated shrunken centroid (USC) and error-weighted, uncorrelated shrunken centroid...
| Autores principales: | , |
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| Formato: | Texto |
| Lenguaje: | English |
| Publicado: |
BioMed Central
2003
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| Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC329422/ https://www.ncbi.nlm.nih.gov/pubmed/14659020 |