학술논문

GateFinder: projection-based gating strategy optimization for flow and mass cytometry
Document Type
article
Source
Bioinformatics. 34(23)
Subject
Algorithms
Biomarkers
Flow Cytometry
Software
Mathematical Sciences
Biological Sciences
Information and Computing Sciences
Bioinformatics
Language
Abstract
MotivationHigh-parameter single-cell technologies can reveal novel cell populations of interest, but studying or validating these populations using lower-parameter methods remains challenging.ResultsHere, 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 implementationThe GateFinder algorithm is implemented as a free and open-source package for BioConductor: https://nalab.stanford.edu/gatefinder.Supplementary informationSupplementary data are available at Bioinformatics online.