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Class prediction by nearest shrunken centroids, with applications to DNA microarrays. (English) Zbl 1048.62109
Summary: We propose a new method for class prediction in DNA microarray studies based on an enhancement of the nearest prototype classifier. Our technique uses ”shrunken” centroids as prototypes for each class to identify the subsets of the genes that best characterize each class. The method is general and can be applied to other high-dimensional classification problems. The method is illustrated on data from two gene expression studies: lymphoma and cancer cell lines.

MSC:
62P10 Applications of statistics to biology and medical sciences; meta analysis
92C40 Biochemistry, molecular biology
62H30 Classification and discrimination; cluster analysis (statistical aspects)
Software:
rda
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