Bioconductor version: Release (3.14)
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 <wjiang2 at fhcrc.org>,Jake Wagner <jpwagner at fhcrc.org>
Citation (from within R,
enter citation("ggcyto")
):
To install this package, start R (version "4.1") and enter:
if (!require("BiocManager", quietly = TRUE)) install.packages("BiocManager") BiocManager::install("ggcyto")
For older versions of R, please refer to the appropriate Bioconductor release.
To view documentation for the version of this package installed in your system, start R and enter:
browseVignettes("ggcyto")
HTML | R Script | Feature summary of ggcyto |
HTML | R Script | Quick plot for cytometry data |
HTML | R Script | Visualize flowSet with ggcyto |
HTML | R Script | Visualize GatingSet with ggcyto |
Reference Manual | ||
Text | NEWS |
biocViews | CellBasedAssays, FlowCytometry, ImmunoOncology, Infrastructure, Software, Visualization |
Version | 1.22.0 |
In Bioconductor since | BioC 3.3 (R-3.3) (6 years) |
License | Artistic-2.0 |
Depends | methods, ggplot2 (>= 3.3.0), flowCore(>= 1.41.5), ncdfFlow(>= 2.17.1), flowWorkspace(>= 3.33.1) |
Imports | plyr, scales, hexbin, data.table, RColorBrewer, gridExtra, rlang |
LinkingTo | |
Suggests | testthat, flowWorkspaceData, knitr, rmarkdown, flowStats, openCyto, flowViz, ggridges, vdiffr |
SystemRequirements | |
Enhances | |
URL | https://github.com/RGLab/ggcyto/issues |
Depends On Me | |
Imports Me | CytoML |
Suggests Me | CATALYST, flowCore, flowStats, flowTime, flowWorkspace, openCyto |
Links To Me | |
Build Report |
Follow Installation instructions to use this package in your R session.
Source Package | ggcyto_1.22.0.tar.gz |
Windows Binary | ggcyto_1.22.0.zip |
macOS 10.13 (High Sierra) | ggcyto_1.22.0.tgz |
Source Repository | git clone https://git.bioconductor.org/packages/ggcyto |
Source Repository (Developer Access) | git clone git@git.bioconductor.org:packages/ggcyto |
Package Short Url | https://bioconductor.org/packages/ggcyto/ |
Package Downloads Report | Download Stats |
Old Source Packages for BioC 3.14 | Source Archive |
Documentation »
Bioconductor
R / CRAN packages and documentation
Support »
Please read the posting guide. Post questions about Bioconductor to one of the following locations: