Machine Learning Methods in Clinical Flow Cytometry
Machine Learning Methods in Clinical Flow Cytometry
About this item
Full title
Author / Creator
Publisher
Switzerland: MDPI AG
Journal title
Language
English
Formats
Publication information
Publisher
Switzerland: MDPI AG
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More information
Scope and Contents
Contents
This review will explore the integration of machine learning (ML) techniques to enhance the analysis of increasingly complex and voluminous flow cytometry data, as traditional manual methods are insufficient for handling this data. We attempt to provide a comprehensive introduction to ML in flow cytometry, detailing the transition from manual gatin...
Alternative Titles
Full title
Machine Learning Methods in Clinical Flow Cytometry
Authors, Artists and Contributors
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Primary Identifiers
Record Identifier
TN_cdi_pubmedcentral_primary_oai_pubmedcentral_nih_gov_11816335
Permalink
https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_pubmedcentral_primary_oai_pubmedcentral_nih_gov_11816335
Other Identifiers
ISSN
2072-6694
E-ISSN
2072-6694
DOI
10.3390/cancers17030483
