A Novel Computational Model for Predicting microRNA–Disease Associations Based on Heterogeneous Graph Convolutional Networks
Identifying the interactions between disease and microRNA (miRNA) can accelerate drugs development, individualized diagnosis, and treatment for various human diseases. However, experimental methods are time-consuming and costly. So computational approaches to predict latent miRNA−disease i...
Main Authors: | , , , , |
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Format: | Article |
Language: | English |
Published: |
MDPI AG
2019-08-01
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Series: | Cells |
Subjects: | |
Online Access: | https://www.mdpi.com/2073-4409/8/9/977 |