Title | A Robust and Generalizable Immune-Related Signature for Sepsis Diagnostics |
Author | |
Publication Years | 2022-11-01
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DOI | |
Source Title | |
ISSN | 2374-0043
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Volume | 19Issue:6Pages:3246-3254 |
Keywords | |
URL | [Source Record] |
SUSTech Authorship | Others
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Data Source | IEEE
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PDF url | https://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=9523768 |
Citation statistics |
Cited Times [WOS]:6
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Document Type | Journal Article |
Identifier | http://kc.sustech.edu.cn/handle/2SGJ60CL/419338 |
Department | Shenzhen People's Hospital |
Affiliation | 1.John Hopcroft Center for Computer Science, Shanghai Jiao Tong University, Shanghai, China 2.Department of Computer Science and Engineering, Chinese University of Hong Kong, Shatin, Hong Kong, China 3.Shenzhen People's Hospital, First Affiliated Hospital of Southern University of Science and Technology, The Second Clinical Medicine College of Jinan University, Shenzhen, Guangdong, China |
Recommended Citation GB/T 7714 |
Yueran Yang,Yu Zhang,Shuai Li,et al. A Robust and Generalizable Immune-Related Signature for Sepsis Diagnostics[J]. IEEE/ACM Transactions on Computational Biology and Bioinformatics,2022,19(6):3246-3254.
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APA |
Yueran Yang.,Yu Zhang.,Shuai Li.,Xubin Zheng.,Man-Hon Wong.,...&Lixin Cheng.(2022).A Robust and Generalizable Immune-Related Signature for Sepsis Diagnostics.IEEE/ACM Transactions on Computational Biology and Bioinformatics,19(6),3246-3254.
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MLA |
Yueran Yang,et al."A Robust and Generalizable Immune-Related Signature for Sepsis Diagnostics".IEEE/ACM Transactions on Computational Biology and Bioinformatics 19.6(2022):3246-3254.
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