Prediction of lncRNA-disease associations by integrating diverse heterogeneous information sources with RWR algorithm and positive pointwise mutual information

Prediction of lncRNA-disease associations by integrating diverse heterogeneous information sources with RWR algorithm and positive pointwise mutual information

Abstract Background Long non-coding RNAs play an important role in human complex diseases. Identification of lncRNA-disease associations will gain insight into disease-related lncRNAs and benefit disease diagnoses and treatment. However, using experiments to explore the lncRNA-disease associations i...

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Bibliographic Details
Main Authors: Xiao-Nan Fan, Shao-Wu Zhang, Song-Yao Zhang, Kunju Zhu, Songjian Lu
Format: Article
Language:English
Published: BMC 2019-02-01
Series:BMC Bioinformatics
Subjects:
Long noncoding RNA
Disease
lncRNA-disease association
Heterogeneous network
Random walk with restart algorithm
Online Access:http://link.springer.com/article/10.1186/s12859-019-2675-y

Internet

http://link.springer.com/article/10.1186/s12859-019-2675-y

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