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

  1. Margarita M. Rincón Hidalgo,
  2. María Dolores Ruiz-Medina*

Article first published online: 23 DEC 2011

DOI: 10.1002/bimj.201000135

Issue

Biometrical Journal

Biometrical Journal

Special Issue: Survival and Event History Analysis

Volume 54, Issue 1, pages 75–93, January 2012

Additional Information

How to Cite

Rincón Hidalgo, M. M. and Ruiz-Medina, M. D. (2012), Local wavelet-vaguelette-based functional classification of gene expression data. Biom. J., 54: 75–93. doi: 10.1002/bimj.201000135

Author Information

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

*Phone: +34958243270, Fax: +34958243267

Publication History

  1. Issue published online: 5 JAN 2012
  2. Article first published online: 23 DEC 2011
  3. Manuscript Accepted: 8 SEP 2011
  4. Manuscript Revised: 11 MAR 2011
  5. Manuscript Received: 2 JUL 2010

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Keywords:

  • Functional data;
  • Functional logistic regression;
  • Gene expression profile;
  • Local wavelet-vaguelette decomposition;
  • Yeast cell-cycle gene expression data

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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