Microarray data analysis: An overview of design, methodology, and analysis

Ashani T. Weeraratna, Dennis D. Taub

Research output: Chapter in Book/Report/Conference proceedingChapter

Abstract

Microarray analysis results in the gathering of massive amounts of information concerning gene expression profiles of different cells and experimental conditions. Analyzing these data can often be a quagmire, with endless discussion as to what the appropriate statistical analyses for any given experiment might be. As a result many different methods of data analysis have evolved, the basics of which are outlined in this chapter.

Original languageEnglish (US)
Title of host publicationMicroarray Data Analysis
Subtitle of host publicationMethods and Applications
EditorsMichael J. Korenberg
Pages1-16
Number of pages16
DOIs
StatePublished - Mar 24 2007
Externally publishedYes

Publication series

NameMethods in Molecular Biology
Volume377
ISSN (Print)1064-3745

Keywords

  • Clustering
  • MIAME
  • Microarray data analysis

ASJC Scopus subject areas

  • Molecular Biology
  • Genetics

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  • Cite this

    Weeraratna, A. T., & Taub, D. D. (2007). Microarray data analysis: An overview of design, methodology, and analysis. In M. J. Korenberg (Ed.), Microarray Data Analysis: Methods and Applications (pp. 1-16). (Methods in Molecular Biology; Vol. 377). https://doi.org/10.1385/1-59745-390-0:1