Local wavelet-vaguelette-based functional classification of gene expression data.
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.
Departament of Statistics and Operational Research, Universidad de Granada, Campus Fuente Nueva s/n, E-18071, Granada, Spain.
Margarita M Rincón
MM
Hidalgo
María Dolores
MD
Ruiz-Medina
D002453:Cell Cycle / Q000235:genetics; D003627:Data Interpretation, Statistical; D020869:Gene Expression Profiling / Q000379:methods*; D015233:Models, Statistical; D018709:Statistics, Nonparametric; D015003:Yeasts / Q000166:cytology / Q000235:genetics