Memorias de investigación
Research Publications in journals:
Inferring microRNA-disease associations by random walk on a heterogeneous network with multiple data sources
Year:2017

Research Areas
  • Molecular, cellular and genetic biology,
  • Computer systems

Information
Abstract
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
International
Si
JCR
Si
Title
Ieee-Acm Transactions on Computational Biology And Bioinformatics
ISBN
1545-5963
Impact factor JCR
1,955
Impact info
Volume
Journal number
From page
905
To page
915
Month
SIN MES
Ranking
Participants
  • Autor: Yuansheng Liu
  • Autor: Xiangxiang Zeng . UPM
  • Autor: Zengyou He
  • Autor: Quan Zou

Research Group, Departaments and Institutes related
  • Creador: Grupo de Investigación: Grupo de Inteligencia Artificial (LIA)
  • Departamento: Inteligencia Artificial