Springer Protocols: Abstract: Comparing Microarray Studies

Comparing Microarray Studies

By: Mayte Suárez-Fariñas², Marcelo O. Magnasco²

Abstract

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We present a practical guide to some of the issues involved in comparing or integrating different microarray studies. We discuss the influence that various factors have on the agreement between studies, such as different technologies and platforms, statistical analysis criteria, protocols, and lab variability. We discuss methods to carry out or refine such comparisons, and detail several common pitfalls to avoid. Finally, we illustrate these ideas with an example case.

Affiliation(s): (2) Center for Studies in Physics and Biology, The Rockefeller University, New York, NY

Book Title: Microarray Data Analysis: Methods and Applications

Series: Methods in Molecular Biology | Volume: 377 | Pub. Date: May-03-2007 | Page Range: 139-152 | DOI: 10.1007/978-1-59745-390-5_8

Subject: Genetics/Genomics

Key Words: Microarray - meta-analysis - crossplatform comparisons

References

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