Predicting MiRNA-disease associations by multiple meta-paths fusion graph embedding model

Predicting MiRNA-disease associations by multiple meta-paths fusion graph embedding model

Abstract Background Many studies prove that miRNAs have significant roles in diagnosing and treating complex human diseases. However, conventional biological experiments are too costly and time-consuming to identify unconfirmed miRNA-disease associations. Thus, computational models predicting uniden...

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Bibliographic Details
Main Authors: Lei Zhang, Bailong Liu, Zhengwei Li, Xiaoyan Zhu, Zhizhen Liang, Jiyong An
Format: Article
Language:English
Published: BMC 2020-10-01
Series:BMC Bioinformatics
Subjects:
miRNA-disease associations
Graph embedding
Meta-path
Online Access:http://link.springer.com/article/10.1186/s12859-020-03765-2

Internet

http://link.springer.com/article/10.1186/s12859-020-03765-2

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