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

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Bibliographic Details
Published in	HemaSphere Vol. 3; no. 2; pp. e173 - n/a
Main Authors	Lacombe, Francis, Dupont, Benoît, Lechevalier, Nicolas, Vial, Jean Philippe, Béné, Marie C.
Format	Journal Article
Language	English
Published	Wolters Kluwer Health 01.04.2019 Wiley
Subjects	Letter
Online Access	Get full text
ISSN	2572-9241 2572-9241
DOI	10.1097/HS9.0000000000000173

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Summary:	Supplemental Digital Content is available in the text
Bibliography:	FL and MCB designed the study, analyzed the data, and wrote the manuscript; BD developed R scripts and processed FlowSOM analyses; FL, NL, and JPV provided data. www.hemaspherejournal.com Funding/support: None. Disclosure: The authors declare no conflict of interest, but it must be mentioned that BD is an employee of Beckman Coulter. This work was presented at the 2017 ASH meeting Supplemental digital content is available for this article. Direct URL citations appear in the printed text and are provided in the HTML and PDF versions of this article on the journal's Website Blood . 2017;130:1421. content type line 23 SourceType-Scholarly Journals-1 ObjectType-Correspondence-1
ISSN:	2572-9241 2572-9241
DOI:	10.1097/HS9.0000000000000173