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Classification of Microarray Gene-Expression Data (2003)

Abstract:
The broad aim is to provide statistical methodology for the classification of microarray gene-expression data. Microarrays are part of a new biotechnology that allows the monitoring of expression levels for thousands of genes simultaneously. The explosion in microarrays has produced massive quantities of data that require new statistical techniques for analysis in order to exploit their enormous scientific potential. One of the main uses of the methodology to be developed is to expedite the discovery of new subclasses of diseases. Another is to provide prediction rules for the diagnosis and treatment of diseases.
Grant type:
ARC Discovery Projects
Researchers:

  • Professor Geoffrey McLachlan

    Professor
    School of Mathematics and Physics
    Faculty of Science
    Professor
    School of Mathematics and Physics
    Faculty of Science

  • Emeritus Professor Kaye Basford

    Emeritus Professor
    School of Agriculture and Food Sustainability
    Faculty of Science
    Emeritus Professor
    School of Agriculture and Food Sustainability
    Faculty of Science
Funded by:
Australian Research Council