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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Detalles Bibliográficos
Autores principales: Qi, Yuan, Fang, Youhan, Sinclair, David R., Guo, Shangqin, Alberich-Jorda, Meritxell, Lu, Jun, Tenen, Daniel G., Kharas, Michael G., Pyne, Saumyadipta
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Public Library of Science 2020
Materias:
Research Article
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

Internet

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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