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Abstract

In this paper we use meta-data packages from the Bioconductor Project to carry out statistical analyses of gene expression data. But would like to note that the potential scope of these applications is much broader and many of the methods described here could be applied to other types of high-throughput data. To provide context we make use of data from an investigation into acute lymphoblastic leukemia.

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© 2004 Springer-Verlag Berlin Heidelberg

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Gentleman, R. (2004). Using Go for Statistical Analyses. In: Antoch, J. (eds) COMPSTAT 2004 — Proceedings in Computational Statistics. Physica, Heidelberg. https://doi.org/10.1007/978-3-7908-2656-2_13

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  • DOI: https://doi.org/10.1007/978-3-7908-2656-2_13

  • Publisher Name: Physica, Heidelberg

  • Print ISBN: 978-3-7908-1554-2

  • Online ISBN: 978-3-7908-2656-2

  • eBook Packages: Springer Book Archive

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