Multiple testing and its applications to microarrays
- Author(s)
- Ge, YC; Sealfon, SC; Speed, TP;
- Details
- Publication Year 2009-12,Volume 18,Issue #6,Page 543-563
- Journal Title
- STATISTICAL METHODS IN MEDICAL RESEARCH
- Publication Type
- Journal Article
- Abstract
- The large-scale multiple testing problems resulting from the measurement of thousands of genes in microarray experiments have received increasing interest during the past several years. This article describes some commonly used criteria for controlling false positive errors, including familywise error rates, false discovery rates and false discovery proportion rates. Various statistical methods controlling these error rates are described. The advantages and disadvantages of these methods are discussed. These methods are applied to gene expression data from two microarray studies and the properties of these multiple testing procedures are compared.
- Publisher
- SAGE PUBLICATIONS LTD
- Keywords
- FALSE DISCOVERY RATE; GENE-EXPRESSION PATTERNS; FAMILYWISE ERROR RATE; HYPOTHESIS; NUMBER; PROPORTION; VARIANCE; CANCER; RATES
- Publisher's Version
- https://doi.org/10.1177/0962280209351899
- Terms of Use/Rights Notice
- Refer to copyright notice on published article.
Creation Date: 2009-12-01 12:00:00