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February 2003 Class Prediction by Nearest Shrunken Centroids, with Applications to DNA Microarrays
Robert Tibshirani, Trevor Hastie, Balasubramanian Narasimhan, Gilbert Chu
Statist. Sci. 18(1): 104-117 (February 2003). DOI: 10.1214/ss/1056397488

Abstract

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 the other high-dimensional classification problems. The method is illustrated on data from two gene expression studies: lymphoma and cancer cell lines.

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Robert Tibshirani. Trevor Hastie. Balasubramanian Narasimhan. Gilbert Chu. "Class Prediction by Nearest Shrunken Centroids, with Applications to DNA Microarrays." Statist. Sci. 18 (1) 104 - 117, February 2003. https://doi.org/10.1214/ss/1056397488

Information

Published: February 2003
First available in Project Euclid: 23 June 2003

zbMATH: 1048.62109
MathSciNet: MR1997067
Digital Object Identifier: 10.1214/ss/1056397488

Rights: Copyright © 2003 Institute of Mathematical Statistics

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Vol.18 • No. 1 • February 2003
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