The 'Miss Rate' for the Analysis of Gene Expression Data

Biostatistics. 2005 Jan;6(1):111-7. doi: 10.1093/biostatistics/kxh021.

Abstract

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.

Publication types

  • Research Support, U.S. Gov't, Non-P.H.S.
  • Research Support, U.S. Gov't, P.H.S.

MeSH terms

  • Computer Simulation
  • Data Interpretation, Statistical*
  • False Negative Reactions
  • False Positive Reactions
  • Gene Expression Regulation, Leukemic / genetics
  • Humans
  • Leukemia, Myeloid, Acute / genetics
  • Oligonucleotide Array Sequence Analysis / methods*
  • Precursor Cell Lymphoblastic Leukemia-Lymphoma / genetics