SuperCellCyto

SuperCell For Cytometry Data

Bioconductor version: 3.24 · Package version: 1.3.0

Other Bioconductor versions

devel is the development version; release is the current stable one.

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.

DOI: 10.18129/B9.bioc.SuperCellCyto

Installation

if (!require("BiocManager", quietly = TRUE))
    install.packages("BiocManager")

BiocManager::install("SuperCellCyto")

Details

Maintainer	Givanna Putri <givanna.h@gmail.com>
Author	Givanna Putri [aut, cre] (ORCID: <https://orcid.org/0000-0002-7399-8014>), George Howitt [aut], Felix Marsh-Wakefield [aut], Thomas Ashhurst [aut], Belinda Phipson [aut]
License	GPL-3 + file LICENSE
URL	https://phipsonlab.github.io/SuperCellCyto/
Bug Reports	https://github.com/phipsonlab/SuperCellCyto/issues
Source branch	devel
Build report	Bioconductor build system, r-universe
biocViews	CellBiology, FlowCytometry, SingleCell, Software
Package Short Url	https://bioconductor.org/packages/SuperCellCyto/

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.

Documentation

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

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