Application of Raman spectroscopy and machine learning for Candida auris identification and characterization.
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| Title: | Application of Raman spectroscopy and machine learning for Candida auris identification and characterization. |
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| Authors: | Xue J; Shandong First Medical University & Shandong Academy of Medical Sciences, Shandong, China.; State Key Laboratory of Microbial Resources, Institute of Microbiology, Chinese Academy of Sciences, Beijing, China., Yue H; Beijing Hospital of Traditional Chinese Medicine, Capital Medical University, Beijing, China.; Beijing Key Laboratory of Basic Research With Traditional Chinese Medicine on Infectious Diseases, Beijing Institute of Chinese Medicine, Beijing, China., Lu W; State Key Laboratory of Microbial Resources, Institute of Microbiology, Chinese Academy of Sciences, Beijing, China., Li Y; State Key Laboratory of Microbial Resources, Institute of Microbiology, Chinese Academy of Sciences, Beijing, China., Huang G; Department of Infectious Diseases, Huashan Hospital, Fudan University, Shanghai, China.; State Key Laboratory of Genetic Engineering, School of Life Sciences, Fudan University, Shanghai, China., Fu YV; State Key Laboratory of Microbial Resources, Institute of Microbiology, Chinese Academy of Sciences, Beijing, China.; Savaid Medical School, University of Chinese Academy of Sciences, Beijing, China. |
| Source: | Applied and environmental microbiology [Appl Environ Microbiol] 2024 Nov 20; Vol. 90 (11), pp. e0102524. Date of Electronic Publication: 2024 Oct 29. |
| Publication Type: | Journal Article; Research Support, Non-U.S. Gov't |
| Journal Info: | Publisher: American Society for Microbiology Country of Publication: United States NLM ID: 7605801 Publication Model: Print-Electronic Cited Medium: Internet ISSN: 1098-5336 (Electronic) Linking ISSN: 00992240 NLM ISO Abbreviation: Appl Environ Microbiol Subsets: MEDLINE |
| Database: | MEDLINE Ultimate |
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