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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...
Autores principales: | Qi, Yuan, Fang, Youhan, Sinclair, David R., Guo, Shangqin, Alberich-Jorda, Meritxell, Lu, Jun, Tenen, Daniel G., Kharas, Michael G., Pyne, Saumyadipta |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Public Library of Science
2020
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7012421/ https://www.ncbi.nlm.nih.gov/pubmed/32045462 http://dx.doi.org/10.1371/journal.pone.0228651 |
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