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Cytometry Masked Autoencoder: An Accurate and Interpretable Automated Immunophenotyper

2024-02-14

Abstract excerpt

High-throughput single-cell cytometry data are crucial for understanding involvement of immune system in diseases and responses to treatment. Traditional methods for annotating cytometry data, specifically manual gating and clustering, face challenges in scalability, robustness, and accuracy. In this study, we propose a cytometry masked autoencoder (cyMAE), which offers an automated solution for immunophenotyping...

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Literature Corpus work
4267bcbd-f607-5734-928c-8c97ee63d01f
DOI
10.1101/2024.02.13.580114
Open publication

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Cytometry Masked Autoencoder: An Accurate and Interpretable Automated ImmunophenotyperDOI 10.1101/2024.02.13.580114
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