SuperCellCyto
This is the development version of SuperCellCyto; for the stable release version, see SuperCellCyto.
All Bioconductor versions of SuperCellCyto
3.24 (devel), 3.23 (release), 3.22
SuperCell For Cytometry Data
Bioconductor version: 3.24 · Package version: 1.3.0
SuperCellCyto provides the ability to summarise cytometry data into supercells by merging together cells that are similar in their marker expressions using the SuperCell package.
Author: Givanna Putri [aut, cre] 
, George Howitt [aut], Felix Marsh-Wakefield [aut], Thomas Ashhurst [aut], Belinda Phipson [aut]
Maintainer: Givanna Putri <givanna.h at gmail.com>
Citation
From within R, enter citation("SuperCellCyto"):
Givanna Putri, George Howitt, Felix Marsh-Wakefield, Thomas Ashhurst, Belinda Phipson. SuperCellCyto: SuperCell For Cytometry Data. doi:10.18129/B9.bioc.SuperCellCyto, R package version 1.3.0, https://bioconductor.org/packages/SuperCellCyto.
Generated from the package metadata; it may differ from the package's own citation.
Installation
To install this package, start R (version "4.6") and enter:
if (!require("BiocManager", quietly = TRUE))
install.packages("BiocManager")
## The following initializes the development version of Bioconductor
BiocManager::install(version = "devel")
BiocManager::install("SuperCellCyto")For older versions of R, please refer to the appropriate Bioconductor release.
Details
| Version | 1.3.0 |
| License | GPL-3 + file LICENSE |
| URL | https://phipsonlab.github.io/SuperCellCyto/ |
| Bug Reports | https://github.com/phipsonlab/SuperCellCyto/issues |
| Last updated | 2026-04-28 |
| In Bioconductor since | BioC 3.22 (R-4.5) (less than a year) |
| Downloads rank | 2054 of 2,456 |
| Source branch | devel |
| Build report | Bioconductor build system, r-universe |
| biocViews | CellBiology, FlowCytometry, SingleCell, Software |
| Package Short Url | https://bioconductor.org/packages/SuperCellCyto/ |
Documentation
To view documentation for the version of this package installed in your system, start R and enter:
browseVignettes("SuperCellCyto")| How to create supercells | HTML | R Script |
| How to Prepare Data for SuperCellCyto | HTML | R Script |
| Interoperability with Seurat | HTML | R Script |
| Interoperability with SingleCellExperiment | HTML | R Script |
| Using SuperCellCyto for Stratified Summarising | HTML | R Script |
| Reference Manual | ||
| NEWS | Text |
Download
Follow the installation instructions to use this package in your R session.
| Source package | SuperCellCyto_1.3.0.tar.gz |
| Windows binary (x86_64) | SuperCellCyto_1.3.0.zip |
| macOS binary (arm64) | SuperCellCyto_1.3.0.tgz |
| macOS binary (x86_64) | SuperCellCyto_1.3.0.tgz |
| Source Repository | git clone https://git.bioconductor.org/packages/SuperCellCyto |
| Source Repository (Developer Access) | git clone git@git.bioconductor.org:packages/SuperCellCyto |
| Package Downloads Report | Download Stats |
Dependencies
Imports: SuperCell, data.table, Matrix, BiocParallel
Suggests: flowCore, knitr, rmarkdown, usethis, testthat (>= 3.0.0), BiocSingular, bluster, scater, scran, Seurat, SingleCellExperiment, BiocStyle, magick, qs2