Observatorio de I+D+i UPM

Memorias de investigación
Research Publications in journals:
Knowledge discovery in spectral data by means of complex networks
Year:2013
Research Areas
  • Biomedicine
Information
Abstract
In the last decade, complex networks have widely been applied to the study of many natural and man-made systems, and to the extraction of meaningful information from the interaction structures created by genes and proteins. Nevertheless, less attention has been devoted to metabonomics, due to the lack of a natural network representation of spectral data. Here we define a technique for reconstructing networks from spectral data sets, where nodes represent spectral bins, and pairs of them are connected when their intensities follow a pattern associated with a disease. The structural analysis of the resulting network can then be used to feed standard data-mining algorithms, for instance for the classification of new (unlabeled) subjects. Furthermore, we show how the structure of the network is resilient to the presence of external additive noise, and how it can be used to extract relevant knowledge about the development of the disease.
International
Si
JCR
Si
Title
METABOLITES
ISBN
2218-1989
Impact factor JCR
Impact info
Volume
3
10.3390/metabo3010155
Journal number
1
From page
155
To page
167
Month
MARZO
Ranking
Participants
  • Autor: Massimiliano Zanin Zanin (UPM)
  • Autor: David Papo . (UPM)
Research Group, Departaments and Institutes related
  • Creador: Centro o Instituto I+D+i: Centro de tecnología Biomédica CTB
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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)