Statistical considerations for analysis of microarray experiments.

Published

Journal Article (Review)

Microarray technologies enable the simultaneous interrogation of expressions from thousands of genes from a biospecimen sample taken from a patient. This large set of expressions generates a genetic profile of the patient that may be used to identify potential prognostic or predictive genes or genetic models for clinical outcomes. The aim of this article is to provide a broad overview of some of the major statistical considerations for the design and analysis of microarrays experiments conducted as correlative science studies to clinical trials. An emphasis will be placed on how the lack of understanding and improper use of statistical concepts and methods will lead to noise discovery and misinterpretation of experimental results.

Full Text

Duke Authors

Cited Authors

  • Owzar, K; Barry, WT; Jung, S-H

Published Date

  • December 2011

Published In

Volume / Issue

  • 4 / 6

Start / End Page

  • 466 - 477

PubMed ID

  • 22212230

Pubmed Central ID

  • 22212230

Electronic International Standard Serial Number (EISSN)

  • 1752-8062

Digital Object Identifier (DOI)

  • 10.1111/j.1752-8062.2011.00309.x

Language

  • eng

Conference Location

  • United States