The 'miss rate' for the analysis of gene expression data

被引：51

作者：

Taylor, J ^{[1
]}

Tibshirani, R

Efron, B

机构：

[1] Stanford Univ, Dept Stat, Stanford, CA 94305 USA

[2] Stanford Univ, Dept Hlth Res & Policy, Stanford, CA 94305 USA

来源：

BIOSTATISTICS | 2005年 / 6卷 / 01期

关键词：

D O I：

10.1093/biostatistics/kxh021

中图分类号：

Q [生物科学];

学科分类号：

07 ; 0710 ; 09 ;

摘要：

Multiple testing issues are important in gene expression studies, where typically thousands of genes are compared over two or more experimental conditions. The false discovery rate has become a popular measure in this setting. Here we discuss a complementary measure, the 'miss rate', and show how to estimate it in practice.

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收藏

页码：111 / 117

页数：7

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