GIAE-DTI: Predicting Drug-Target Interactions Based on Heterogeneous Network and GIN-Based Graph Autoencoder
Accurate prediction of drug-target interactions (DTIs) is essential for advancing drug discovery and repurposing. However, the sparsity of DTI data limits the effectiveness of existing computational methods, which primarily focus on sparse DTI networks and have poor performance in aggregating inform...
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| Vydané v: | IEEE journal of biomedical and health informatics Ročník 29; číslo 11; s. 7896 - 7909 |
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| Hlavní autori: | , , , , |
| Médium: | Journal Article |
| Jazyk: | English |
| Vydavateľské údaje: |
United States
IEEE
01.11.2025
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| Predmet: | |
| ISSN: | 2168-2194, 2168-2208, 2168-2208 |
| On-line prístup: | Získať plný text |
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