Weighted multiple testing procedures for genomic studies

Published

Journal Article (Review)

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. © 2012 Gui et al.; licensee BioMed Central Ltd.

Full Text

Duke Authors

Cited Authors

  • Gui, J; Tosteson, TD; Borsuk, M

Published Date

  • June 11, 2012

Published In

Volume / Issue

  • 5 / 1

Electronic International Standard Serial Number (EISSN)

  • 1756-0381

Digital Object Identifier (DOI)

  • 10.1186/1756-0381-5-4

Citation Source

  • Scopus