| Literature DB >> 26134276 |
Quan Zou, Jinjin Li, Li Song, Xiangxiang Zeng, Guohua Wang.
Abstract
Various microRNAs have been demonstrated to play roles in a number of human diseases. Several microRNA-disease network reconstruction methods have been used to describe the association from a systems biology perspective. The key problem for the network is the similarity computation model. In this article, we reviewed the main similarity computation methods and discussed these methods and future works. This survey may prompt and guide systems biology and bioinformatics researchers to build more perfect microRNA-disease associations and may make the network relationship clear for medical researchers.Entities:
Keywords: machine learning; microRNA; microRNA–disease relationship; network
Mesh:
Substances:
Year: 2015 PMID: 26134276 DOI: 10.1093/bfgp/elv024
Source DB: PubMed Journal: Brief Funct Genomics ISSN: 2041-2649 Impact factor: 4.241