A model for predicting drug-disease associations based on dense convolutional attention network
The development of new drugs is a time-consuming and labor-intensive process. Therefore, researchers use computational methods to explore other therapeutic effects of existing drugs, and drug-disease association prediction is an important branch of it. The existing drug-disease association predictio...
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| Main Authors: | Huiqing Wang, Sen Zhao, Jing Zhao, Zhipeng Feng |
|---|---|
| Format: | article |
| Language: | EN |
| Published: |
AIMS Press
2021
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| Subjects: | |
| Online Access: | https://doaj.org/article/029eeab8870949b59f8b66cf9f166132 |
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