FSRM-DDIE : few-shot learning methods based on relation metrics for the prediction of drug-drug interaction events
Author:
Funder
National Natural Science Foundation of China
Publisher
Springer Science and Business Media LLC
Link
https://link.springer.com/content/pdf/10.1007/s10489-024-05832-0.pdf
Reference47 articles.
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2. Hauben M (2023) Artificial intelligence and data mining for the pharmacovigilance of drug–drug interactions. Clin Ther 45(2):117–133. https://doi.org/10.1016/j.clinthera.2023.01.002
3. Bassani D, Moro S (2023) Past, present, and future perspectives on computer-aided drug design methodologies. Molecules 28(9):1–20. https://doi.org/10.3390/molecules28093906
4. Zhao X, Huang L, Nie J et al (2024) Towards adaptive multi-scale intermediate domain via progressive training for unsupervised domain adaptation. IEEE Trans Multimedia 26:5054–5064. https://doi.org/10.1109/TMM.2023.3330088
5. Cao H, Huang L, Nie J et al (2023) Unsupervised deep hashing with fine-grained similarity-preserving contrastive learning for image retrieval. IEEE Trans Circuits Syst Video Technol:1–15. https://doi.org/10.1109/TCSVT.2023.3320444
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