Interpretable cytometry cell-type annotation with flow-based deep generative models

@article{Blampey2022InterpretableCC,
  title={Interpretable cytometry cell-type annotation with flow-based deep generative models},
  author={Quentin Blampey and Nad{\`e}ge Bercovici and Charles-Antoine Dutertre and Isabelle Pic and Fabrice Andr'e and Joana Mourato Ribeiro and Paul-Henry Courn{\`e}de},
  journal={ArXiv},
  year={2022},
  volume={abs/2208.05745}
}
Cytometry enables precise single-cell phenotyping within heterogeneous populations. These cell types are traditionally annotated via manual gating, but this method suffers from a lack of reproducibility and sensitivity to batch-effect. Also, the most recent cytometers — spectral flow or mass cytometers — create rich and high-dimensional data whose analysis via manual gating becomes challenging and time-consuming. To tackle these limitations, we introduce Scyan 1 , a Single-cell Cytometry… 

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