SuperCellCyto
This is the released version of SuperCellCyto; for the devel version, see SuperCellCyto.
SuperCell For Cytometry Data
Bioconductor version: Release (3.23)
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("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 1.2.0, 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")
BiocManager::install("SuperCellCyto")For older versions of R, please refer to the appropriate Bioconductor release.
Documentation
To view documentation for the version of this package installed in your system, start R and enter:
browseVignettes("SuperCellCyto")| how_to_prepare_data | HTML | R Script |
| Using SuperCellCyto with Single-Cell Based Objects | HTML | R Script |
| interoperability_with_seurat | HTML | R Script |
| How to create supercells | HTML | R Script |
| using-runsupercellcyto-for-stratified-summarising | HTML | R Script |
| Reference Manual | ||
| NEWS | Text | |
| LICENSE | Text |
Details
| biocViews | CellBiology, FlowCytometry, SingleCell, Software |
| Version | 1.2.0 |
| In Bioconductor since | BioC 3.22 (R-4.5) (1 year) |
| License | GPL-3 + file LICENSE |
| Depends | |
| Imports | SuperCell, data.table, Matrix, BiocParallel |
| System Requirements | |
| URL | https://phipsonlab.github.io/SuperCellCyto/ |
| Bug Reports | https://github.com/phipsonlab/SuperCellCyto/issues |
See More
| Suggests | flowCore, knitr, rmarkdown, usethis, testthat (>= 3.0.0), BiocSingular, bluster, scater, scran, Seurat, SingleCellExperiment, BiocStyle, magick, qs2 |
| Linking To | |
| Enhances | |
| Depends On Me | |
| Imports Me | |
| Suggests Me | |
| Links To Me | |
| Build Report | Build Report, r-universe |
Package Archives
Follow Installation instructions to use this package in your R session.
| Source Package | SuperCellCyto_1.2.0.tar.gz |
| Windows Binary (x86_64) | SuperCellCyto_1.2.0.zip |
| macOS Binary (big-sur-x86_64) | SuperCellCyto_1.2.0.tgz |
| macOS Binary (sonoma-arm64) | SuperCellCyto_1.2.0.tgz |
| Source Repository | git clone https://git.bioconductor.org/packages/SuperCellCyto |
| Source Repository (Developer Access) | git clone git@git.bioconductor.org:packages/SuperCellCyto |
| Package Short Url | https://bioconductor.org/packages/SuperCellCyto/ |
| Package Downloads Report | Download Stats |