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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...

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Bibliografske podrobnosti
Main Authors: Yeung, Ka Yee, Bumgarner, Roger E
Format: Artigo
Jezik:Inglês
Izdano: BioMed Central 2003
Teme:
Online dostop:https://ncbi.nlm.nih.gov/pmc/articles/PMC329422/
https://ncbi.nlm.nih.gov/pubmed/14659020
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