MetaGate: Interactive analysis of high-dimensional cytometry data with metadata integration.

ABSTRACT: Flow cytometry is a powerful technology for high-throughput protein quantification at the single-cell level. Technical advances have substantially increased data complexity, but novel bioinformatical tools often show limitations in statistical testing, data sharing, cross-experiment comparability, or clinical data integration. We developed MetaGate as a platform for interactive statistical analysis and visualization of manually gated high-dimensional cytometry data with integration of metadata. MetaGate provides a data reduction algorithm based on a combinatorial gating system that produces a small, portable, and standardized data file. This is subsequently used to produce figures and statistical analyses through a fast web-based user interface. We demonstrate the utility of MetaGate throu

SUBMITTER: Ask EH 

PROVIDER: S-EPMC11284499 | biostudies-literature | 2024 Jul

REPOSITORIES: biostudies-literature