Prediction and diagnosis of renal cell carcinoma using nuclear magnetic resonance-based serum metabolomics and self-organizing maps
// Hong Zheng 1 , Jiansong Ji 2 , Liangcai Zhao 1 , Minjiang Chen 1, 2 , An Shi 3 , Linlin Pan 1 , Yiran Huang 3 , Huajie Zhang 1 , Baijun Dong 3 , Hongchang Gao 1 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 Correspondence to: Hongc
Record details
Published: 24 July 2016
Source: OpenAlex
Category: Research
Topics: Healthcare · Children & education · Biotech
Retrieved: 14 July 2026
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ethics.ai (24 July 2016), “Prediction and diagnosis of renal cell carcinoma using nuclear magnetic resonance-based serum metabolomics and self-organizing maps,” evidence record 8025, https://ethics.ai/record/8025 (originally published by OpenAlex).
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