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A robust and interpretable end-to-end deep learning model for cytometry data
Cytometry technologies are essential tools for immunology research, providing high-throughput measurements of the immune cells at the single-cell level. Existing approaches in interpreting and using cytometry measurements include manual or automated gating to identify cell subsets from the cytometry...
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| Publicado no: | Proc Natl Acad Sci U S A |
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| Main Authors: | , , , , |
| Formato: | Artigo |
| Idioma: | Inglês |
| Publicado em: |
National Academy of Sciences
2020
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| Assuntos: | |
| Acesso em linha: | https://ncbi.nlm.nih.gov/pmc/articles/PMC7474669/ https://ncbi.nlm.nih.gov/pubmed/32801215 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1073/pnas.2003026117 |
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