Prediction and diagnosis of renal cell carcinoma using nuclear magnetic resonance-based serum metabolomics and self-organizing maps-Reference-Cited by-同舟云学术

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Prediction and diagnosis of renal cell carcinoma using nuclear magnetic resonance-based serum metabolomics and self-organizing maps

Published:2016-07-24 Issue:37 Volume:7 Page:59189-59198
ISSN:1949-2553
Container-title:Oncotarget
language:en
Short-container-title:Oncotarget

Author:

Zheng Hong¹,Ji Jiansong²,Zhao Liangcai¹,Chen Minjiang¹²,Shi An³,Pan Linlin¹,Huang Yiran³,Zhang Huajie¹,Dong Baijun³,Gao Hongchang¹

Affiliation:

1. School of Pharmaceutical Sciences, Wenzhou Medical University, Wenzhou, 325035, China

2. Lishui Central Hospital, The Fifth Affiliated Hospital, Wenzhou Medical University, Lishui, 323000, China

3. Department of Urology, Renji Hospital, School of Medicine, Shanghai Jiao Tong University, Shanghai, 200127, China

Publisher

Impact Journals, LLC

Subject

Oncology

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4. Multivariate curve resolution-based data fusion approaches applied in 1H NMR metabolomic analysis of healthy cohorts;Analytica Chimica Acta;2024-06

5. Influence of Dietary Polyunsaturated Fatty Acid Intake on Potential Lipid Metabolite Diagnostic Markers in Renal Cell Carcinoma: A Case-Control Study;Nutrients;2024-04-24

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