| _version_ | 1866902256386834432 |
|---|---|
| author | Priest, David |
| author_facet | Priest, David |
| contents | GateLabR is an R / Shiny application for interactive manual gating of mass cytometry (CyTOF) and flow cytometry data stored as SingleCellExperiment objects. It supports polygon and rectangle gates, Boolean population hierarchies, Cytobank-compatible Gating-ML 2.0 import / export, FCS export, and Adobe Illustrator-friendly vector SVG figure export. Gates, populations and display settings are persisted inside the SCE metadata so the entire gating workspace is reloaded with the SCE. |
| format | Recurso digital |
| id | zenodo_https___doi_org_10_5281_zenodo_20404387 |
| institution | Zenodo |
| language | |
| publishDate | 2026 |
| publisher | Zenodo |
| record_format | zenodo |
| spellingShingle | GateLabR: Interactive manual gating for SingleCellExperiment objects Priest, David cytometry mass cytometry CyTOF flow cytometry gating Gating-ML single-cell R Shiny SingleCellExperiment Bioconductor immunology GateLabR is an R / Shiny application for interactive manual gating of mass cytometry (CyTOF) and flow cytometry data stored as SingleCellExperiment objects. It supports polygon and rectangle gates, Boolean population hierarchies, Cytobank-compatible Gating-ML 2.0 import / export, FCS export, and Adobe Illustrator-friendly vector SVG figure export. Gates, populations and display settings are persisted inside the SCE metadata so the entire gating workspace is reloaded with the SCE. |
| title | GateLabR: Interactive manual gating for SingleCellExperiment objects |
| topic | cytometry mass cytometry CyTOF flow cytometry gating Gating-ML single-cell R Shiny SingleCellExperiment Bioconductor immunology |
| url | https://doi.org/10.5281/zenodo.20404387 |