Abstract
Making Informed Choices about Microarray Data Analysis
Highlights
Why Is Data Analysis Still an Issue?High-throughput methods are revolutionizing biological research, and numerous published articles describe innovative insights obtained through analysis of microarray data
Several institutional packages are described at the end of this article. With such packaged software readily available, who really needs to think about microarray analysis or to collaborate with array analysis specialists?
The premise of this review is that innovative microarray analyses are rarely straightforward and that most analyses present problems and opportunities that are not readily identified or adequately addressed by packaged, comprehensive software
Summary
This article describes the typical stages in the analysis of microarray data for nonspecialist researchers in systems biology and medicine. Particular attention is paid to significant data analysis issues that are commonly encountered among practitioners, some of which need wider airing. The issues addressed include experimental design, quality assessment, normalization, and summarization of multiple-probe data. This article is based on the ISMB 2008 tutorial on microarray data analysis. An expanded version of the material in this article and the slides from the tutorial can be found at http://www.people.vcu.edu/ ,mreimers/OGMDA/index.html
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