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The Analysis of Gene Expression Data: An Overview of Methods and Software

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The Analysis of Gene Expression Data

Part of the book series: Statistics for Biology and Health ((SBH))

Abstract

This chapter is a rough map of the book. It provides a concise overview of data-analytic tasks associated with microarray studies, pointers to chapters that can help perform these tasks, and connections with selected data-analytic tools not covered in any of the chapters. We wish to give a general orientation before moving to the detailed discussion provided by individual chapters. A comprehensive review of microarray data analysis methods is beyond the scope of this introduction.

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Authors
  1. Giovanni Parmigiani
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  2. Elizabeth S. Garrett
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  3. Rafael A. Irizarry
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  4. Scott L. Zeger
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Editor information

Editors and Affiliations

  1. Departments of Oncology, Biostatistics,and Pathology, Johns Hopkins University, Baltimore, MD, 21205-2013, USA

    Giovanni Parmigiani

  2. Departments of Oncology and Biostatistics, Johns Hopkins University, Baltimore, MD, 21205-2013, USA

    Elizabeth S. Garrett

  3. Departments of Biostatistics, Johns Hopkins University, Baltimore, MD, 21205-2013, USA

    Rafael A. Irizarry

  4. Departments of Biostatistics and Epidemiology, Johns Hopkins University, Baltimore, MD, 21205-2013, USA

    Scott L. Zeger

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© 2003 Springer-Verlag New York, Inc.

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Parmigiani, G., Garrett, E.S., Irizarry, R.A., Zeger, S.L. (2003). The Analysis of Gene Expression Data: An Overview of Methods and Software. In: Parmigiani, G., Garrett, E.S., Irizarry, R.A., Zeger, S.L. (eds) The Analysis of Gene Expression Data. Statistics for Biology and Health. Springer, New York, NY. https://doi.org/10.1007/0-387-21679-0_1

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  • DOI: https://doi.org/10.1007/0-387-21679-0_1

  • Publisher Name: Springer, New York, NY

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