Class Prediction by Nearest Shrunken Centroids, with Applications to DNA Microarrays
Tibshirani, Robert ; Hastie, Trevor ; Narasimhan, Balasubramanian ; Chu, Gilbert
Statist. Sci., Tome 18 (2003) no. 1, p. 104-117 / Harvested from Project Euclid
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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.
Publié le : 2003-02-14
Classification:  Sample classification,  gene expression arrays. 
@article{1056397488,
     author = {Tibshirani, Robert and Hastie, Trevor and Narasimhan, Balasubramanian and Chu, Gilbert},
     title = {Class Prediction by Nearest Shrunken Centroids, with Applications to DNA Microarrays},
     journal = {Statist. Sci.},
     volume = {18},
     number = {1},
     year = {2003},
     pages = { 104-117},
     language = {en},
     url = {http://dml.mathdoc.fr/item/1056397488}
}

Tibshirani, Robert; Hastie, Trevor; Narasimhan, Balasubramanian; Chu, Gilbert. Class Prediction by Nearest Shrunken Centroids, with Applications to DNA Microarrays. Statist. Sci., Tome 18 (2003) no. 1, pp.  104-117. http://gdmltest.u-ga.fr/item/1056397488/