Tumor type classification and candidate cancer-specific biomarkers discovery via semi-supervised learning

导出学术成果认领

作者 Peng Chen ^[1] Zhenlei Li ^[1] Zhaolin Hong ^[1] Haoran Zheng ^[2] Rong Zeng ^[3] 学术成果认领

作者单位 School of Computer Science and Technology,University of Science and Technology of China,Hefei 230026,China ^[1] School of Computer Science and Technology,University of Science and Technology of China,Hefei 230026,China;Anhui Key Laboratory of Software Engineering in Computing and Communication,University of Science and Technology of China,Hefei 230026,China;Department of Systems Biology,University of Science and Technology of China,Hefei 230026,China ^[2] CAS Key Laboratory of Systems Biology,Shanghai Institute of Biochemistry and Cell Biology,Center for Excel-lence in Molecular Cell Science,Chinese Academy of Sciences,Shanghai 200031,China;School of Life Science and Technology,ShanghaiTech University,Shanghai 201210,China ^[3]

关键词 Tumor type classification Cancer-specific biomarkers MSSL Deep learning

栏目名称 METHOD

DOI 10.52601/bpr.2023.230005

发布时间 2023-10-19

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生物物理学报(英文)

2023年9卷2期

57-66页

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Tumor type classification and candidate cancer-specific biomarkers discovery via semi-supervised learning

生物物理学报(英文)

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生物物理学报(英文)

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Tumor type classification and candidate cancer-specific biomarkers discovery via semi-supervised learning

生物物理学报(英文)

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生物物理学报(英文)

相关期刊

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