Observatorio de I+D+i UPM

Memorias de investigación
Artículos en revistas:
Feature selection in the reconstruction of complex network representations of spectral data
Año:2013
Áreas de investigación
  • Biomedicina
Datos
Descripción
Complex networks have been extensively used in the last decade to characterize and analyze complex systems, and they have been recently proposed as a novel instrument for the analysis of spectra extracted from biological samples. Yet, the high number of measurements composing spectra, and the consequent high computational cost, make a direct network analysis unfeasible. We here present a comparative analysis of three customary feature selection algorithms, including the binning of spectral data and the use of information theory metrics. Such algorithms are compared by assessing the score obtained in a classification task, where healthy subjects and people suffering from different types of cancers should be discriminated. Results indicate that a feature selection strategy based on Mutual Information outperforms the more classical data binning, while allowing a reduction of the dimensionality of the data set in two orders of magnitude.
Internacional
Si
JCR del ISI
Si
Título de la revista
Plos One
ISSN
1932-6203
Factor de impacto JCR
3,73
Información de impacto
Volumen
8
DOI
Número de revista
8
Desde la página
72045
Hasta la página
72052
Mes
SIN MES
Ranking
Esta actividad pertenece a memorias de investigación
Participantes
  • Autor: Massimiliano Zanin Zanin (UPM)
Grupos de investigación, Departamentos, Centros e Institutos de I+D+i relacionados
  • Creador: Centro o Instituto I+D+i: Centro de tecnología Biomédica CTB
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