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Updated: Jul 17, 2025

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LDS-CNN:基于大规模药物查的药物向相互作用预测的深度学习框架

Yang Wang1, Zuxian Zhang2, Chenghong Piao3

  • 1School of Computer Science and Technology, Guangdong University of Technology, Guangzhou, 510006 China.

Health information science and systems
|September 5, 2023
PubMed
概括

这项研究引入了一种深度学习方法,用于预测药物向相互作用 (DTI),克服大规模多样化数据集的挑战. 大规模的药物标查卷积神经网络 (LDS-CNN) 准确地识别了潜在的药物标关系,降低了实验成本.

关键词:
卷积神经网络是一种卷积神经网络.药物向相互作用的预测和预测大规模的预测预测.统一编码 统一编码

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