Predicting miRNA-Disease Associations by Incorporating Projections in Low-Dimensional Space and Local Topological Information

Predicting miRNA-Disease Associations by Incorporating Projections in Low-Dimensional Space and Local Topological Information

Predicting the potential microRNA (miRNA) candidates associated with a disease helps in exploring the mechanisms of disease development. Most recent approaches have utilized heterogeneous information about miRNAs and diseases, including miRNA similarities, disease similarities, and miRNA-disease ass...

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Bibliographic Details
Main Authors: Ping Xuan, Yan Zhang, Tiangang Zhang, Lingling Li, Lianfeng Zhao
Format: Article
Language:English
Published: MDPI AG 2019-09-01
Series:Genes
Subjects:
miRNA-disease associations
non-negative matrix factorization
graph regularization
projection of miRNAs and diseases
sparse characteristic of associations
Online Access:https://www.mdpi.com/2073-4425/10/9/685

Internet

https://www.mdpi.com/2073-4425/10/9/685

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