High-speed automatic characterization of rare events in flow cytometric data

Yuan Qi, Youhan Fang, David R Sinclair, Shangqin Guo, Meritxell Alberich-Jorda, Jun Lu, Daniel G Tenen, Michael G Kharas and Saumyadipta Pyne

PLOS ONE, 2020, vol. 15, issue 2, 1-18

Abstract: 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 information-sharing via parallel computation, FLARE rapidly explores the high-dimensional marker-space to detect highly rare populations that are consistent across multiple samples. Further it can focus within specified regions of interest in marker-space to detect subpopulations with desired precision.

Date: 2020
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Persistent link: https://EconPapers.repec.org/RePEc:plo:pone00:0228651

DOI: 10.1371/journal.pone.0228651

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