Local wavelet-vaguelette-based functional classification of gene expression data

Authors

  • Margarita M. Rincón Hidalgo,

    1. Departament of Statistics and Operational Research, Universidad de Granada, Campus Fuente Nueva s/n, E-18071, Granada, Spain
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  • María Dolores Ruiz-Medina

    Corresponding author
    1. Departament of Statistics and Operational Research, Universidad de Granada, Campus Fuente Nueva s/n, E-18071, Granada, Spain
    • Phone: +34958243270, Fax: +34958243267

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Abstract

This paper focuses on the problem of functional statistical classification of gene expression curves. A local-wavelet-vaguelette-based functional logistic regression approach is presented. This approach is specially suitable for the classification of non-stationary singular (non-differentiable) curves. The performance of the methodology proposed is illustrated by implementing it for the classification of yeast cell-cycle temporal gene expression profiles. A simulation study is also carried out for comparison with other functional classification methodologies.

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