Por favor, use este identificador para citar o enlazar este ítem: http://hdl.handle.net/10495/7347
Título : Statistical properties of the quantile normalization method for density curve alignment
Autor : Gallón Gómez, Santiago Alejandro
Loubes, Jean Michel
Maza, Elie
metadata.dc.subject.*: Wasserstein distance
Curve registration
Manifold registration
Microarray data analysis
Normalization
Order statistics
Structural expectation
Fecha de publicación : 2013
Editorial : Elsevier
Citación : Gallón Gómez, S. A., Loubes, J. M. & Maza, E. (2013). Statistical properties of the quantile normalization method for density curve alignment. Mathematical Biosciences, 242(2), 129-142.
Resumen : ABSTRACT: The article investigates the large sample properties of the quantile normalization method by Bolstad et al. (2003) [4] which has become one of the most popular methods to align density curves in microarray data analysis. We prove consistency of this method which is viewed as a particular case of the structural expectation procedure for curve alignment, which corresponds to a notion of barycenter of measures in the Wasserstein space. Moreover, we show that, this method fails in some case of mixtures, and we propose a new methodology to cope with this issue.
ISSN : 0025-5564
Aparece en las colecciones: CIC (Centro de Investigaciones y Consultorías en Ciencias Económicas)

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