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High-speed automatic characterization of rare events in flow cytometric data
A new computational framework for FLow cytometric Analysis of Rare Events (FLARE) has been developed specifically for fast and automatic identification of rare cell populations in very large samples generated by platforms like multi-parametric flow cytometry. Using a hierarchical Bayesian model and...
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| Publicado no: | PLoS One |
|---|---|
| Main Authors: | , , , , , , , , |
| Formato: | Artigo |
| Idioma: | Inglês |
| Publicado em: |
Public Library of Science
2020
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| Assuntos: | |
| Acesso em linha: | https://ncbi.nlm.nih.gov/pmc/articles/PMC7012421/ https://ncbi.nlm.nih.gov/pubmed/32045462 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1371/journal.pone.0228651 |
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