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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...
Gespeichert in:
| Veröffentlicht in: | Genome Biol |
|---|---|
| Hauptverfasser: | , |
| Format: | Artigo |
| Sprache: | Inglês |
| Veröffentlicht: |
BMC
2003
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| Schlagworte: | |
| Online Zugang: | https://ncbi.nlm.nih.govhttps://pmc.ncbi.nlm.nih.gov/articles/PMC329422/ https://ncbi.nlm.nih.govhttps://pubmed.ncbi.nlm.nih.gov/14659020/ https://ncbi.nlm.nih.govhttps://doi.org/10.1186/gb-2003-4-12-r83 |
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