This is the released version of flowGate; for the devel version, see flowGate.
Interactive Cytometry Gating in RBioconductor version: Release (3.21)
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.
Author: Andrew Wight [aut, cre], Harvey Cantor [aut, ldr]
Maintainer: Andrew Wight <andrew.wight10 at gmail.com>
Citation (from within R, entercitation("flowGate")
): Installation
To install this package, start R (version "4.5") and enter:
if (!require("BiocManager", quietly = TRUE))
install.packages("BiocManager")
BiocManager::install("flowGate")
For older versions of R, please refer to the appropriate Bioconductor release.
DocumentationTo view documentation for the version of this package installed in your system, start R and enter:
browseVignettes("flowGate")
Details biocViews DataImport, FlowCytometry, ImmunoOncology, Preprocessing, Software, WorkflowStep Version 1.8.0 In Bioconductor since BioC 3.17 (R-4.3) (2 years) License MIT + file LICENSE 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 System Requirements URL See More Package Archives
Follow Installation instructions to use this package in your R session.
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