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

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. Availability and implementation:The GateFinder algorithm is implemented as a free and open-source package for BioConductor: https://nalab.stanford.edu/gatefinder. Supplementary information:Supplementary data are available at Bioinformatics online.

SUBMITTER: Aghaeepour N 

PROVIDER: S-EPMC6247943 | biostudies-literature |

REPOSITORIES: biostudies-literature