Prediction of drug-disease associations based on reinforcement symmetric metric learning and graph convolution network
Accurately identifying novel indications for drugs is crucial in drug research and discovery. Traditional drug discovery is costly and time-consuming. Computational drug repositioning can provide an effective strategy for discovering potential drug-disease associations. However, the known experiment...
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| Main Authors: | , , , , , |
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| Format: | Book |
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Frontiers Media S.A.,
2024-02-01T00:00:00Z.
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A1234.567 |
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