Making the most of microarray data

被引：43

作者：

Gaasterland, T ^{[1
]}

Bekiranov, S ^{[1
]}

机构：

[1] Rockefeller Univ, Lab Computat Genom, New York, NY 10021 USA

来源：

NATURE GENETICS | 2000年 / 24卷 / 03期

关键词：

D O I：

10.1038/73392

中图分类号：

Q3 [遗传学];

学科分类号：

071007 ; 090102 ;

摘要：

The impact of microarray technology on biology will depend on computational methods of data analysis. A supervised computer-learning method using support vector machines predicts gene function from expression data—and shows promise.

引用

页码：204 / 206

页数：3

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