EOESGC: predicting miRNA-disease associations based on embedding of embedding and simplified graph convolutional network
Abstract Background A large number of biological studies have shown that miRNAs are inextricably linked to many complex diseases. Studying the miRNA-disease associations could provide us a root cause understanding of the underlying pathogenesis in which promotes the progress of drug development. How...
Saved in:
| Main Authors: | , , , , |
|---|---|
| Format: | article |
| Language: | EN |
| Published: |
BMC
2021
|
| Subjects: | |
| Online Access: | https://doaj.org/article/7478900349554ad7bdfbdd107802fd92 |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|