Memorias de investigación
Artículos en revistas:
Preprocessing and analyzing genetic data with complex networks: An application to Obstructive Nephropathy
Año:2012
Áreas de investigación
  • Análisis de datos
Datos
Descripción
Many diseases have a genetic origin, and a great effort is being made to detect the genes that are responsible for their insurgence. One of the most promising techniques is the analysis of genetic information through the use of complex networks theory. Yet, a practical problem of this approach is its computational cost, which scales as the square of the number of features included in the initial dataset. In this paper, we propose the use of an iterative feature selection strategy to identify reduced subsets of relevant features, and show an application to the analysis of congenital Obstructive Nephropathy. Results demonstrate that, besides achieving a drastic reduction of the computational cost, the topologies of the obtained networks still hold all the relevant information, and are thus able to fully characterize the severity of the disease.
Internacional
Si
JCR del ISI
Si
Título de la revista
Networks And Heterogeneous Media
ISSN
1556-1801
Factor de impacto JCR
0,658
Información de impacto
Datos JCR del año 2011
Volumen
7
DOI
10.3934/nhm.2012.7.473
Número de revista
3
Desde la página
473
Hasta la página
481
Mes
SEPTIEMBRE
Ranking
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Participantes
  • Autor: Massimiliano Zanin
  • Autor: Ernestina Menasalvas Ruiz UPM
  • Autor: Pedro Sousa Unversidad Nova de Lisboa
  • Autor: Stefano Boccaletti . UPM
Grupos de investigación, Departamentos, Centros e Institutos de I+D+i relacionados
  • Creador: Grupo de Investigación: Data Mining Engineering (DaME) Ingeniería de Minería de datos
  • Centro o Instituto I+D+i: Centro de tecnología Biomédica CTB