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
收藏
页码：204 / 206
页数：3
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