Abstract
We have devised an approach to cancer class prediction from gene expression profiling, based on an enhancement of the simple nearest prototype (centroid) classifier. We shrink the prototypes and hence obtain a classifier that is often more accurate than competing methods. Our method of “nearest shrunken centroids” identifies subsets of genes that best characterize each class. The technique is general and can be used in many other classification problems. To demonstrate its effectiveness, we show that the method was highly efficient in finding genes for classifying small round blue cell tumors and leukemias.
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Dates
Type | When |
---|---|
Created | 23 years ago (July 26, 2002, 10:46 a.m.) |
Deposited | 8 months, 2 weeks ago (Dec. 7, 2024, 5:38 p.m.) |
Indexed | 2 days, 3 hours ago (Aug. 22, 2025, 12:45 a.m.) |
Issued | 23 years, 3 months ago (May 14, 2002) |
Published | 23 years, 3 months ago (May 14, 2002) |
Published Online | 23 years, 3 months ago (May 14, 2002) |
Published Print | 23 years, 3 months ago (May 14, 2002) |
@article{Tibshirani_2002, title={Diagnosis of multiple cancer types by shrunken centroids of gene expression}, volume={99}, ISSN={1091-6490}, url={http://dx.doi.org/10.1073/pnas.082099299}, DOI={10.1073/pnas.082099299}, number={10}, journal={Proceedings of the National Academy of Sciences}, publisher={Proceedings of the National Academy of Sciences}, author={Tibshirani, Robert and Hastie, Trevor and Narasimhan, Balasubramanian and Chu, Gilbert}, year={2002}, month=may, pages={6567–6572} }