flowGate
Interactive Cytometry Gating in R
Bioconductor version: 3.23 · Package version: 1.12.1
flowGate adds an interactive Shiny app to allow manual GUI-based gating of flow cytometry data in R. Using flowGate, you can draw 1D and 2D span/rectangle gates, quadrant gates, and polygon gates on flow cytometry data by interactively drawing the gates on a plot of your data, rather than by specifying gate coordinates. This package is especially geared toward wet-lab cytometerists looking to take advantage of R for cytometry analysis, without necessarily having a lot of R experience.
Installation
if (!require("BiocManager", quietly = TRUE))
install.packages("BiocManager")
BiocManager::install("flowGate")Details
| Maintainer | Andrew Wight <andrew.wight10@gmail.com> |
| Author | Andrew Wight [aut, cre], Harvey Cantor [aut, ldr] |
| License | MIT + file LICENSE |
| Downloads rank | 248 |
| Source branch | RELEASE_3_23 |
| biocViews | DataImport, FlowCytometry, ImmunoOncology, Preprocessing, Software, WorkflowStep |
Documentation
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Dependencies
Depends: flowWorkspace (>= 4.0.6), ggcyto (>= 1.16.0), R (>= 4.2)
Imports: shiny (>= 1.5.0), BiocManager (>= 1.30.10), flowCore (>= 2.0.1), dplyr (>= 1.0.0), ggplot2 (>= 3.3.2), rlang (>= 0.4.7), purrr, tibble, methods