This is the development version of ggcyto; for the stable release version, see ggcyto.
Visualize Cytometry data with ggplotBioconductor version: Development (3.22)
With the dedicated fortify method implemented for flowSet, ncdfFlowSet and GatingSet classes, both raw and gated flow cytometry data can be plotted directly with ggplot. ggcyto wrapper and some customed layers also make it easy to add gates and population statistics to the plot.
Author: Mike Jiang
Maintainer: Mike Jiang <mike at ozette.com>
Citation (from within R, entercitation("ggcyto")
): Installation
To install this package, start R (version "4.5") and enter:
if (!require("BiocManager", quietly = TRUE))
install.packages("BiocManager")
# The following initializes usage of Bioc devel
BiocManager::install(version='devel')
BiocManager::install("ggcyto")
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("ggcyto")
Details biocViews CellBasedAssays, FlowCytometry, ImmunoOncology, Infrastructure, Software, Visualization Version 1.37.0 In Bioconductor since BioC 3.3 (R-3.3) (9 years) License file LICENSE Depends methods, ggplot2 (>= 3.5.0), flowCore(>= 1.41.5), ncdfFlow(>= 2.17.1), flowWorkspace(>= 4.3.1) Imports plyr, scales, hexbin, data.table, RColorBrewer, gridExtra, rlang System Requirements URL https://github.com/RGLab/ggcyto/issues See More Suggests testthat, flowWorkspaceData, knitr, rmarkdown, flowStats, openCyto, flowViz, ggridges, vdiffr Linking To Enhances Depends On Me flowGate Imports Me CytoML, CytoPipeline Suggests Me CATALYST, flowCore, flowStats, flowTime, flowWorkspace, openCyto Links To Me Build Report Build Report Package Archives
Follow Installation instructions to use this package in your R session.
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