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机译:子宫内膜癌的代谢组特征
Department of Medicine Surgery and Dentistry “Scuola Medica Salernitana” University of Salerno 84081 Baronissi Salerno Italy;
Department of Neurosciences and Reproductive and Dentistry Sciences University of Naples Federico II 80138 Naples Italy;
Department of Medicine Surgery and Dentistry “Scuola Medica Salernitana” University of Salerno 84081 Baronissi Salerno Italy;
Theoreo Srl 84090 Montecorvino Pugliano Salerno Italy;
Department of Neurosciences and Reproductive and Dentistry Sciences University of Naples Federico II 80138 Naples Italy;
Unit of Obstetrics and Gynaecology Department of Medical and Surgical Sciences “Magna Graecia” University of Catanzaro 88100 Catanzaro Catanzaro Italy;
Unit of Obstetrics and Gynaecology Department of Medical and Surgical Sciences “Magna Graecia” University of Catanzaro 88100 Catanzaro Catanzaro Italy;
Unit of Obstetrics and Gynaecology Department of Medical and Surgical Sciences “Magna Graecia” University of Catanzaro 88100 Catanzaro Catanzaro Italy;
Department of Medicine Surgery and Dentistry “Scuola Medica Salernitana” University of Salerno 84081 Baronissi Salerno Italy;
classification models; endometrial cancer; ensemble machine learning models; metabolomics; partial least square discriminant analysis;
机译:子宫内膜癌的代谢组特征
机译:利用基因组特征识别化学难治性子宫内膜癌的高效候选药物
机译:无监督的机器学习方法的比较鉴定局部乳腺癌患者代谢组织的研究
机译:乳腺癌细胞进展的剖析和定量代谢物“签名”
机译:子宫内膜癌未来发展的预测:子宫内膜样品中是否有任何隐藏的错误?
机译:肿瘤微环境血流确定了代谢组学特征识别溶血磷脂和resolvin D作为子宫内膜癌患者的生物标志物
机译:肿瘤微环境血流确定鉴定溶血磷脂和溶质素D作为子宫内膜癌患者的生物标志物的代谢组特征