4.5 Article

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

Journal

BIOSTATISTICS
Volume 6, Issue 1, Pages 111-117

Publisher

OXFORD UNIV PRESS
DOI: 10.1093/biostatistics/kxh021

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Funding

  1. NHLBI NIH HHS [N01-HV-28183] Funding Source: Medline
  2. DIVISION OF HEART AND VASCULAR DISEASES [N01HV028183] Funding Source: NIH RePORTER

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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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