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Efficiency comparison of BioMCL-DDI and baseline models.
Efficiency comparison of BioMCL-DDI and baseline models.
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Figshare
2025-12-05 更新
2026-04-28 收录
药物相互作用预测
模型效率评估
数据链接:
https://figshare.com/articles/dataset/Efficiency_comparison_of_BioMCL-DDI_and_baseline_models_/30809281
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资源简介:
Efficiency comparison of BioMCL-DDI and baseline models.
应用场景:
创建时间:
2025-12-05
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Additional file 2 of HormoNet: a deep learning approach for hormone-drug interaction prediction
药物相互作用预测
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Additional file 2. Hormone-drug interaction dataset.
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Additional file 3 of HormoNet: a deep learning approach for hormone-drug interaction prediction
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Additional file 3. Hormone-drug interaction risk level dataset.
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Comparison of Parameters (M) and Flops (G) performance of different models on datasets.
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Comparison of Parameters (M) and Flops (G) performance of different models on datasets.
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Additional file 4 of DeSIDE-DDI: interpretable prediction of drug-drug interactions using drug-induced gene expressions
药物相互作用预测
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Additional file 4. DDI prediction model performance for Case 1. Side effect specific performance of DDI model in Case 1 (unseen interactions).
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Optimizing Cardiovascular Treatment in Non-Small Cell Lung Cancer: A Comprehensive Computational Approach for Assessment of Drug-Drug Interactions between Tyrosine Kinase Inhibitors and Cardiovascular Drugs
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