Motivation: High-parameter single-cell technologies can reveal novel cell populations of interest, but studying or validating these populations using lower-parameter methods remains challenging.Results: Here, we present GateFinder, an algorithm that enriches high-dimensional cell types with simple, stepwise polygon gates requiring only two markers at a time. A series of case studies of complex cell types illustrates how simplified enrichment strategies can enable more efficient assays, reveal novel biomarkers and clarify underlying biology.
Aghaeepour, N., Simonds, E.f., Knapp, D., Bruggner, R.v., Sachs, K., Culos, A., et al. (2018). GateFinder: projection-based gating strategy optimization for flow and mass cytometry. BIOINFORMATICS, 34(23), 4131-4133 [10.1093/bioinformatics/bty430].
GateFinder: projection-based gating strategy optimization for flow and mass cytometry
Gherardini, Pier Federico;
2018-12-01
Abstract
Motivation: High-parameter single-cell technologies can reveal novel cell populations of interest, but studying or validating these populations using lower-parameter methods remains challenging.Results: Here, we present GateFinder, an algorithm that enriches high-dimensional cell types with simple, stepwise polygon gates requiring only two markers at a time. A series of case studies of complex cell types illustrates how simplified enrichment strategies can enable more efficient assays, reveal novel biomarkers and clarify underlying biology.| File | Dimensione | Formato | |
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