Predicting new drug indications based on double variational autoencoders
Experimental drug development is costly, complex, and time-consuming, and the number of drugs that have been put into application treatment is small. The identification of drug-disease correlations can provide important information for drug discovery and drug repurposing. Computational drug repurpos...
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Veröffentlicht in: | Computers in biology and medicine 2023-09, Vol.164, p.107261-107261, Article 107261 |
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