ggcyto
Visualize Cytometry data with ggplot
Bioconductor version: 3.23 · Package version: 1.40.0
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.
Installation
if (!require("BiocManager", quietly = TRUE))
install.packages("BiocManager")
BiocManager::install("ggcyto")Details
| Maintainer | Mike Jiang <mike@ozette.com> |
| Author | Mike Jiang |
| License | file LICENSE |
| URL | https://github.com/RGLab/ggcyto/issues |
| Downloads rank | 1734 |
| Source branch | RELEASE_3_23 |
| biocViews | CellBasedAssays, FlowCytometry, ImmunoOncology, Infrastructure, Software, Visualization |
Documentation
- ggcyto : Visualize Cytometry data with ggplot
- Quick plot for cytometry data
- Visualize flowSet with ggcyto
- Visualize GatingSet with ggcyto
Download
Follow the installation instructions to use this package in your R session.
| Source package | ggcyto_1.40.0.tar.gz |
| Windows binary (x86_64) | ggcyto_1.40.0.zip |
| macOS binary (arm64) | ggcyto_1.40.0.tgz |
| macOS binary (x86_64) | ggcyto_1.40.0.tgz |
Dependencies
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
Suggests: testthat, flowWorkspaceData, knitr, rmarkdown, flowStats, openCyto, flowViz, ggridges, vdiffr
Reverse dependencies
Depends On Me (1): flowGate
Imports Me (3): CompensAID, CytoML, CytoPipeline
Suggests Me (7): CATALYST, flowCore, flowStats, flowTime, flowWorkspace, openCyto, staRgate