Observatorio de I+D+i UPM

Memorias de investigación
Artículos en revistas:
Inferring microRNA-disease associations by random walk on a heterogeneous network with multiple data sources
Año:2017
Áreas de investigación
  • Biología molecular, celular y genética,
  • Informática
Datos
Descripción
Since the discovery of the regulatory function of microRNA miRNA, increased attention has focused on identifying the relationship between miRNA and disease. It has been suggested that computational method is an efficient way to identify potential disease-related miRNAs for further confirmation using biological experiments. In this paper, we first highlighted three limitations commonly associated with previous computational methods. To resolve these limitations, we established disease similarity subnetwork and miRNA similarity subnetwork by integrating multiple data sources, where the disease similarity is composed of disease semantic similarity and disease functional similarity, and the miRNA similarity is calculated using the miRNA-target gene and miRNA-lncRNA long non-coding RNA associations. Then, a heterogeneous network was constructed by connecting the disease
Internacional
Si
JCR del ISI
Si
Título de la revista
Ieee-Acm Transactions on Computational Biology And Bioinformatics
ISSN
1545-5963
Factor de impacto JCR
1,955
Información de impacto
Volumen
DOI
Número de revista
Desde la página
905
Hasta la página
915
Mes
SIN MES
Ranking
Esta actividad pertenece a memorias de investigación
Participantes
  • Autor: Yuansheng Liu
  • Autor: Xiangxiang Zeng . (UPM)
  • Autor: Zengyou He
  • Autor: Quan Zou
Grupos de investigación, Departamentos, Centros e Institutos de I+D+i relacionados
  • Creador: Grupo de Investigación: Grupo de Inteligencia Artificial (LIA)
  • Departamento: Inteligencia Artificial
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