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Weighted multiple testing procedures for genomic studies

Authors
Journal
BioData Mining
1756-0381
Publisher
Springer (Biomed Central Ltd.)
Publication Date
Volume
5
Issue
1
Identifiers
DOI: 10.1186/1756-0381-5-4
Keywords
  • Review
Disciplines
  • Biology

Abstract

With the rapid development of biological technology, measurement of thousands of genes or SNPs can be carried out simultaneously. Improved procedures for multiple hypothesis testing when the number of tests is very large are critical for interpreting genomic data. In this paper, we review recent developments on three distinct but closely related methods involving p-value weighting to improve statistical power while also controlling for the false discovery rate or the family wise error rate.

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