Class prediction by nearest shrunken centroids, with applications to DNA microarrays
Class prediction by nearest shrunken centroids, with applications to DNA microarrays
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DOI：
10.1214/ss/1056397488
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发表时间：
2003-02-01
影响因子：
5.7
通讯作者：
Chu, G
中科院分区：
文献类型：
--
作者：
Tibshirani, R;Hastie, T;Chu, G
我们提出了一种新的基于最近原型分类器增强的DNA微阵列分类预测方法。我们的技术使用“缩小的”质心作为每一类的原型，以确定最能表征每一类的基因子集。该方法具有一定的通用性，可推广应用于其他高维分类问题。该方法是基于两个基因表达研究的数据：淋巴瘤和癌细胞系。
We propose anew 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.