Enhancing Bacterial Phenotype Classification Through the Integration of Autogating and Automated Machine Learning in Flow Cytometric Analysis.
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| Title: | Enhancing Bacterial Phenotype Classification Through the Integration of Autogating and Automated Machine Learning in Flow Cytometric Analysis. |
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| Authors: | Jeong IJ; Department of Environmental and Energy Engineering, Yonsei University, Wonju, Republic of Korea., Hong JK; Department of Environmental and Energy Engineering, Yonsei University, Wonju, Republic of Korea., Bae YJ; Department of Environmental and Energy Engineering, Yonsei University, Wonju, Republic of Korea., Lee TK; Department of Environmental and Energy Engineering, Yonsei University, Wonju, Republic of Korea. |
| Source: | Cytometry. Part A : the journal of the International Society for Analytical Cytology [Cytometry A] 2025 Mar; Vol. 107 (3), pp. 203-213. Date of Electronic Publication: 2025 Mar 10. |
| Publication Type: | Journal Article |
| Journal Info: | Publisher: Wiley-Liss Country of Publication: United States NLM ID: 101235694 Publication Model: Print-Electronic Cited Medium: Internet ISSN: 1552-4930 (Electronic) Linking ISSN: 15524922 NLM ISO Abbreviation: Cytometry A Subsets: MEDLINE |
| Database: | MEDLINE Ultimate |
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| ISSN: | 1552-4930 |
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| DOI: | 10.1002/cyto.a.24923 |
