Interpretable Machine Learning Algorithms Identify Inetetamab-Mediated Metabolic Signatures and Biomarkers in Treating Breast Cancer.

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第一作者： Ning,Xie

第一单位： Department of Breast Cancer Medical Oncology, The Affiliated Cancer Hospital of Xiangya School of Medicine, Central South University/Hunan Cancer Hospital, Changsha, Hunan, China.

作者： Ning,Xie ^[1] ; Dehua,Liao ^[2] ; Binliang,Liu ^[1] ; Jiwen,Zhang ^[2] ; Liping,Liu ^[1] ; Gang,Huang ^[3] ; Quchang,Ouyang ^[1]

作者单位： Department of Breast Cancer Medical Oncology, The Affiliated Cancer Hospital of Xiangya School of Medicine, Central South University/Hunan Cancer Hospital, Changsha, Hunan, China. ^[1] Department of Pharmacy, The Affiliated Cancer Hospital of Xiangya School of Medicine, Central South University/Hunan Cancer Hospital, Changsha, Hunan, China. ^[2] Department of Orthopaedics, The Affiliated Cancer Hospital of Xiangya School of Medicine, Central South University/Hunan Cancer Hospital, Changsha, Hunan, China. ^[3]

关键词 breast cancer inetetamab therapy machine learning plasma metabolomics therapeutic markers

主题词人类(Humans);乳腺肿瘤(Breast Neoplasms);女(雌)性(Female);代谢组学(Metabolomics);中年人(Middle Aged);代谢组(Metabolome);算法(Algorithms)

DOI 10.1002/jcla.25124

PMID 39569974

发布时间 2024-12-13

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