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Publications

GateFinder: projection-based strategy optimization for flow and mass cytometry.

Aghaeepour, N., Simonds, E.F., Knapp D.J.H.F. et al.

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.

Citation

Aghaeepour, N., Simonds, E.F., Knapp D.J.H.F. et al. "GateFinder: projection-based strategy optimization for flow and mass cytometry." Bioinformatics (2018): 4,131–3