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Comparison of three machine learning algorithms for classification of B-cell neoplasms using clinical flow cytometry data.

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Title: Comparison of three machine learning algorithms for classification of B-cell neoplasms using clinical flow cytometry data.
Authors: Dinalankara W; Department of Pathology and Laboratory Medicine, Weill Cornell Medicine, New York, New York, USA., Ng DP; Department of Pathology, University of Utah, Salt Lake City, Utah, USA., Marchionni L; Department of Pathology and Laboratory Medicine, Weill Cornell Medicine, New York, New York, USA., Simonson PD; Department of Pathology and Laboratory Medicine, Weill Cornell Medicine, New York, New York, USA.
Source: Cytometry. Part B, Clinical cytometry [Cytometry B Clin Cytom] 2024 Jul; Vol. 106 (4), pp. 282-293. Date of Electronic Publication: 2024 May 09.
Publication Type: Journal Article; Comparative Study
Journal Info: Publisher: Wiley-Liss Country of Publication: United States NLM ID: 101235690 Publication Model: Print-Electronic Cited Medium: Internet ISSN: 1552-4957 (Electronic) Linking ISSN: 15524949 NLM ISO Abbreviation: Cytometry B Clin Cytom Subsets: MEDLINE
Database: MEDLINE Ultimate
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        Value: 10.1002/cyto.b.22177
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              Text: 2024 Jul
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