Predicting miRNA-Disease Association Based on Neural Inductive Matrix Completion with Graph Autoencoders and Self-Attention Mechanism
Many studies have clarified that microRNAs (miRNAs) are associated with many human diseases. Therefore, it is essential to predict potential miRNA-disease associations for disease pathogenesis and treatment. Numerous machine learning and deep learning approaches have been adopted to this problem. In...
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| Hauptverfasser: | , , , |
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| Format: | Artigo |
| Sprache: | Inglês |
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MDPI AG
2022-01-01
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| Schriftenreihe: | Biomolecules |
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| Online-Zugang: | https://www.mdpi.com/2218-273X/12/1/64 |
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