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Statistical Methods for Analyzing Gene Expression Data for Cancer Research

  • Conference paper
Book cover Bioinformatics and Genome Analysis

Part of the book series: Ernst Schering Research Foundation Workshop ((SCHERING FOUND,volume 38))

Abstract

Microarray technology allows for the simultaneous profiling of the expression levels of tens of thousands of genes, potentially whole genomes (DeRisi et al. 1997; Lipshutz et al. 1999; Shalon et al. 1996). This unique power has opened the way for new experimental designs that explore the transcriptional profile of cancer and other complex diseases (Alon et al. 1999; Golub et al. 1999; Perou et al. 1999; Schummer et al. 1999; Alizadeh et al. 2000; Bittner et al. 2000; Perou et al. 2000; Ross et al. 2000).

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Authors
  1. N. Friedman
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  2. N. Kaminski
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Editor information

Editors and Affiliations

  1. Institute for Bioinformatics, GSF-Forschungszentrum für Umwelt, Ingolstädter Landstraße 1, 85764, Neuherberg, Germany

    H.-W. Mewes

  2. Genomics/Bioinformatics, Schering AG, Müllerstrasse 178, 13342, Berlin, Germany

    H. Seidel  & B. Weiss  & 

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© 2002 Springer-Verlag Berlin Heidelberg

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Friedman, N., Kaminski, N. (2002). Statistical Methods for Analyzing Gene Expression Data for Cancer Research. In: Mewes, HW., Seidel, H., Weiss, B. (eds) Bioinformatics and Genome Analysis. Ernst Schering Research Foundation Workshop, vol 38. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-662-04747-7_6

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  • DOI: https://doi.org/10.1007/978-3-662-04747-7_6

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-662-04749-1

  • Online ISBN: 978-3-662-04747-7

  • eBook Packages: Springer Book Archive

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