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    Evaluation of a machine learning tool in the domain of genetic host responses

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    Author
    Pitt, Joel
    Date
    2003
    Permanent Link
    http://hdl.handle.net/10092/14796
    Degree Grantor
    University of Canterbury
    Degree Level
    Doctoral
    Degree Name
    Other

    This report examines the use of Support Vector Machines and Genetic Programming Classifiers (GPCs) to distinguish between classes of cancer based on gene expression data. The effect of feature selection on classifier accuracy and on the convergence time of GPCs is experimentally investigated, with the goal of making classification problems on gene expression data tractable to GPCs.

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