SYSTEMS AND METHODS FOR ANALYZING CYTOMETRY DATA

SYSTEMS AND METHODS FOR ANALYZING CYTOMETRY DATA

Techniques for identifying types of cells present in a biological sample using flow cytometry performed using a panel of markers and multiple machine learning models. The techniques include: obtaining flow cytometry data for the biological sample, the biological sample previously-obtained from a sub...

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Bibliographische Detailangaben
Hauptverfasser: Krauz, Ilya, Ovcharov, Pavel, Kruglikov, Roman, Kamysheva, Anna, Ryabyhk, Alexander, Fastovets, Dmitrii, Zaitsev, Aleksandr, Kilina, Anastasiia, Bobe, Anatoly
Format: Patent
Sprache:eng
Schlagworte:
INVESTIGATING OR ANALYSING MATERIALS BY DETERMINING THEIRCHEMICAL OR PHYSICAL PROPERTIES
MEASURING
PHYSICS
TESTING
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Zusammenfassung:Techniques for identifying types of cells present in a biological sample using flow cytometry performed using a panel of markers and multiple machine learning models. The techniques include: obtaining flow cytometry data for the biological sample, the biological sample previously-obtained from a subject and comprising a plurality of cells, the flow cytometry data including flow cytometry measurements obtained during respective flow cytometry events, the flow cytometry events including a subset of events corresponding to cells in the biological sample being measured by the flow cytometry platform; and identifying types of cells of the plurality of cells using the multiple machine learning models to obtain a respective plurality of cell types.