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GateFinder: Projection-based Gating Strategy Optimization for Flow and Mass Cytometry. Bioinformatics (Oxford, England) Aghaeepour, N. n., Simonds, E. F., Knapp, D. J., Bruggner, R. n., Sachs, K. n., Culos, A. n., Gherardini, P. F., Samusik, N. n., Fragiadakis, G. n., Bendall, S. n., Gaudilliere, B. n., Angst, M. S., Eaves, C. J., Weiss, W. A., Fantl, W. n., Nolan, G. n. 2018

Abstract

High-parameter single-cell technologies can reveal novel cell populations of interest, but studying or validating these populations using lower-parameter methods remains challenging.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.The GateFinder algorithm is implemented as a free and open-source package for BioConductor: https://nalab.stanford.edu/gatefinder.gnolan@stanford.edu or naghaeep@stanford.edu.Supplementary data are available at Bioinformatics online.

View details for PubMedID 29850785