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Innovation in Flow Cytometry Analysis: A New Paradigm Delineating Normal or Diseased Bone Marrow Subsets Through Machine Learning

机译：流式细胞术分析的创新：通过机器学习描述正常或患病的骨髓亚群的新范例

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期刊名称 HemaSphere
作者
Francis Lacombe; Benoît Dupont; Nicolas Lechevalier; Jean Philippe Vial; Marie C. Béné;
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年(卷),期 2019(3),2
年度 2019
页码 -1
总页数 4
原文格式 PDF
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1. Accurate quantification of fourteen normal bone marrow cell subsets in infants to the elderly by flow cytometry [J] . Pont Julie, Souvignet Alice, Campos Lydia, Cytometry, Part B. Clinical cytometry: the journal of the International Society for Analytical Cytology . 2018,第5期

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2. Flow cytometry of peripheral blood and bone marrow cells from patients with hairy cell leukemia: phenotype of hairy cells, lymphocyte subsets and detection of minimal residual disease after treatment. [J] . Babugikova, Tomova A, Kusenda J, Neoplasma: Journal of Experimental and Clinical Oncology . 2001,第5期

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3. Detection of minimal residual disease in unselected patients with acute myeloid leukemia using multiparameter flow cytometry for definition of leukemia-associated immunophenotypes and determination of their frequencies in normal bone marrow | Haematologica [J] . W Kern, S Danhauser-Riedl, R Ratei, Haematologica . 2003,第6期

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4. Differential Counting of Bone Marrow by Flow Cytometry [C] . Douglas J. Weiss Annual Meeting of the American Society for Veterinary Clinical Pathology . 2004

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5. Machine Learning for Flow Cytometry Data Analysis. [D] . Lee, Gyemin. 2011

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6. Definition of Erythroid Differentiation Subsets in Normal Human Bone Marrow Using FlowSOM Unsupervised Cluster Analysis of Flow Cytometry Data [O] . Marie C. Béné, Olof Axler, Despoina Violidaki, 2021

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7. Accurate quantification of fourteen normal bone marrow cell subsets in infants to the elderly by flow cytometry [O] . Julie Pont, Alice Souvignet, Lydia Campos, 2018

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Innovation in Flow Cytometry Analysis: A New Paradigm Delineating Normal or Diseased Bone Marrow Subsets Through Machine Learning

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