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Divide and Conquer: A Flexible Deep Learning Strategy for Exploring Metabolic Heterogeneity from Mass Spectrometry Imaging Data.
Guo, Lei; Dong, Jiyang; Xu, Xiangnan; Wu, Zhichao; Zhang, Yinbin; Wang, Yongwei; Li, Pengfei; Tang, Zhi; Zhao, Chao; Cai, Zongwei.
Affiliation
  • Guo L; Department of Electronic Science, National Institute for Data Science in Health and Medicine, Xiamen University, Xiamen, Fujian 361005, China.
  • Dong J; Department of Electronic Science, National Institute for Data Science in Health and Medicine, Xiamen University, Xiamen, Fujian 361005, China.
  • Xu X; School of Mathematics and Statistics, The University of Sydney, Sydney, NSW 2006, Australia.
  • Wu Z; School of Artificial Intelligence, Beijing Normal University, Beijing 100875, China.
  • Zhang Y; Department of Oncology, The Second Affiliated Hospital of Medical College, Xi'an Jiaotong University, Xi'an, Shaanxi 710004, China.
  • Wang Y; Bruker Scientific Technology Co., Ltd., Beijing 100086, China.
  • Li P; Bruker Scientific Technology Co., Ltd., Beijing 100086, China.
  • Tang Z; School of Public Health, Dongguan Key Laboratory of Environmental Medicine, Institute of Environmental Health, Guangdong Medical University, Dongguan, Guangdong 523808, China.
  • Zhao C; Bionic Sensing and Intelligence Center, Institute of Biomedical and Health Engineering, Shenzhen Institute of Advanced Technology, Chinese Academy of Sciences, Shenzhen, Guangdong 518055, China.
  • Cai Z; State Key Laboratory of Environmental and Biological Analysis, Department of Chemistry, Hong Kong Baptist University, Hong Kong SAR 999077, China.
Anal Chem ; 2023 Jan 12.
Article in En | MEDLINE | ID: mdl-36633187
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Full text: 1 Collection: 01-internacional Database: MEDLINE Type of study: Prognostic_studies Language: En Journal: Anal Chem Year: 2023 Document type: Article Affiliation country: Country of publication:
Fulltext
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Full text: 1 Collection: 01-internacional Database: MEDLINE Type of study: Prognostic_studies Language: En Journal: Anal Chem Year: 2023 Document type: Article Affiliation country: Country of publication: