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Updated: Feb 7, 2026

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FKSUDDAPre:基于F-TEST特征选择和AMDKSU重新采样以及可解释性分析的药物疾病关联预测框架

Yun Zuo1, Chenyi Zhang1, Ge Hua1

  • 1School of Artificial Intelligence and Computer Science, Jiangnan University and Engineering Research Center of Intelligent Technology for Healthcare, Ministry of Education, Wuxi, China.

PLoS computational biology
|February 5, 2026
PubMed
概括

这项研究介绍了FKSUDDAPre,这是一种用于预测药物疾病关联 (DDA) 的新型机器学习框架. 该模型通过整合多模式特征和解决数据不平衡来提高药物发现的准确性和效率,以改善治疗研究.

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