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Application and Characterization of the Multiple Instance Learning Framework in Flow Cytometry

2025-06-12

Abstract excerpt

For decades, flow cytometry has allowed for single-cell profiling based on selected biomarkers and is widely used in both clinical and research settings. One major limitation of most conventional flow cytometry analyses is the dependency on a mostly manual gating process. This generally involves sequentially selecting biomarkers to isolate phenotype-associated cell populations, an approach that is both labor-inten...

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Literature Corpus work
d35d7eb6-46ee-5e95-8796-ff1465355b4e
DOI
10.1101/2025.06.10.658646
Open publication

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Application and Characterization of the Multiple Instance Learning Framework in Flow CytometryDOI 10.1101/2025.06.10.658646
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