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...
Main Authors: | , , , , |
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Format: | Article |
Language: | English |
Published: |
MDPI AG
2019-09-01
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Series: | Genes |
Subjects: | |
Online Access: | https://www.mdpi.com/2073-4425/10/9/685 |