Observatorio de I+D+i UPM

Memorias de investigación
Research Publications in journals:
Feature selection in the reconstruction of complex network representations of spectral data
Year:2013
Research Areas
  • Biomedicine
Information
Abstract
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.
International
Si
JCR
Si
Title
Plos One
ISBN
1932-6203
Impact factor JCR
3,73
Impact info
Volume
8
Journal number
8
From page
72045
To page
72052
Month
SIN MES
Ranking
Participants
  • Autor: Massimiliano Zanin Zanin (UPM)
Research Group, Departaments and Institutes related
  • Creador: Centro o Instituto I+D+i: Centro de tecnología Biomédica CTB
S2i 2020 Observatorio de investigación @ UPM con la colaboración del Consejo Social UPM
Cofinanciación del MINECO en el marco del Programa INNCIDE 2011 (OTR-2011-0236)
Cofinanciación del MINECO en el marco del Programa INNPACTO (IPT-020000-2010-22)