Identification of Cuproptosis-related Biomarkers in Alzheimer's Disease Based on Bioinformatics and Machine Learning and Clinical Validation and Prediction of Potential Traditional Chinese Medicine
|更新时间:2025-09-16
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Identification of Cuproptosis-related Biomarkers in Alzheimer's Disease Based on Bioinformatics and Machine Learning and Clinical Validation and Prediction of Potential Traditional Chinese Medicine
增强出版
“In the field of Alzheimer's disease research, experts use bioinformatics and machine learning methods to identify copper death related gene biomarkers and predict potential traditional Chinese medicine, providing new ideas for the treatment of Alzheimer's disease with traditional Chinese medicine.”
Chinese Journal of Experimental Traditional Medical FormulaeVol. 31, Issue 20, Pages: 160-167(2025)
YU Guofang,ZHAO Chenling,TIAN Liwei,et al.Identification of Cuproptosis-related Biomarkers in Alzheimer's Disease Based on Bioinformatics and Machine Learning and Clinical Validation and Prediction of Potential Traditional Chinese Medicine[J].Chinese Journal of Experimental Traditional Medical Formulae,2025,31(20):160-167.
YU Guofang,ZHAO Chenling,TIAN Liwei,et al.Identification of Cuproptosis-related Biomarkers in Alzheimer's Disease Based on Bioinformatics and Machine Learning and Clinical Validation and Prediction of Potential Traditional Chinese Medicine[J].Chinese Journal of Experimental Traditional Medical Formulae,2025,31(20):160-167. DOI: 10.13422/j.cnki.syfjx.20250812.
Identification of Cuproptosis-related Biomarkers in Alzheimer's Disease Based on Bioinformatics and Machine Learning and Clinical Validation and Prediction of Potential Traditional Chinese Medicine增强出版
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