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Robust prediction of clinical outcomes using cytometry data
MOTIVATION: Flow cytometry and mass cytometry are widely used to diagnose diseases and to predict clinical outcomes. When associating clinical features with cytometry data, traditional analysis methods require cell gating as an intermediate step, leading to information loss and susceptibility to bat...
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| Published in: | Bioinformatics |
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| Main Authors: | , , |
| Format: | Artigo |
| Language: | Inglês |
| Published: |
Oxford University Press
2019
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| Subjects: | |
| Online Access: | https://ncbi.nlm.nih.gov/pmc/articles/PMC6449751/ https://ncbi.nlm.nih.gov/pubmed/30169745 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1093/bioinformatics/bty768 |
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