
SuperCellCyto is an extension of the SuperCell R package. Initially developed for scRNAseq data, SuperCell aggregates cells with similar transcriptomic profiles into "supercells" (also known as “metacells” in the scRNAseq literature).
In SuperCellCyto, we've tailored the SuperCell package to specifically cater to cytometry data:
Please report any issues you encounter.
You can install the stable version of SuperCellCyto from Bioconductor:
# Install BiocManager if you haven't already
if (!requireNamespace("BiocManager", quietly = TRUE))
install.packages("BiocManager")
# Install SuperCellCyto from Bioconductor
BiocManager::install("SuperCellCyto")
Or, you can install the development version of SuperCellCyto from GitHub:
if (!requireNamespace("pak", quietly = TRUE))
install.packages("pak")
# Install SuperCellCyto from GitHub
pak::pak("phipsonlab/SuperCellCyto")
The best way to get started with SuperCellCyto is to explore the package's vignettes and articles (available at https://phipsonlab.github.io/SuperCellCyto/).
For a list of recent changes, please see the NEWS.md file.
@article{putri2024supercellcyto,
title={SuperCellCyto: enabling efficient analysis of large scale cytometry datasets},
author={Putri, Givanna H and Howitt, George and Marsh-Wakefield, Felix and Ashhurst, Thomas M and Phipson, Belinda},
journal={Genome Biology},
volume={25},
number={1},
pages={89},
year={2024},
publisher={Springer}
}
Please note that the SuperCellCyto project is released with a Contributor Code of Conduct. By contributing to this project, you agree to abide by its terms.
Please visit Contributing Guide