Springer Protocols: Abstract: Microarray Data Analysis: An Overview of Design, Methodology, and Analysis

Microarray Data Analysis: An Overview of Design, Methodology, and Analysis

By: Ashani T. Weeraratna², Dennis D. Taub²

Abstract

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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.

Affiliation(s): (2) Laboratory of Immunology, National Institutes of Health, National Institute on Aging, Gerontology Research Center, Baltimore, MD

Book Title: Microarray Data Analysis: Methods and Applications

Series: Methods in Molecular Biology | Volume: 377 | Pub. Date: May-03-2007 | Page Range: 1-16 | DOI: 10.1007/978-1-59745-390-5_1

Subject: Genetics/Genomics

Key Words: Microarray data analysis - MIAME - clustering

References

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