SuperCellCyto
This is the development version of SuperCellCyto; to use it, please install the devel version of Bioconductor.
SuperCell For Cytometry Data
Bioconductor version: Development (3.22)
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")
):
Installation
To install this package, start R (version "4.5") and enter:
if (!require("BiocManager", quietly = TRUE))
install.packages("BiocManager")
# The following initializes usage of Bioc devel
BiocManager::install(version='devel')
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 create supercells | HTML | R Script |
how_to_prepare_data | HTML | R Script |
interoperability_with_seurat | HTML | R Script |
Using SuperCellCyto with Single-Cell Based Objects | HTML | R Script |
using-runsupercellcyto-for-stratified-summarising | HTML | R Script |
Reference Manual |
Details
biocViews | CellBiology, FlowCytometry, SingleCell, Software |
Version | 0.99.2 |
In Bioconductor since | BioC 3.22 (R-4.5) |
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 |
Package Archives
Follow Installation instructions to use this package in your R session.
Source Package | SuperCellCyto_0.99.2.tar.gz |
Windows Binary (x86_64) | |
macOS Binary (x86_64) | SuperCellCyto_0.99.2.tgz |
macOS Binary (arm64) | SuperCellCyto_0.99.2.tgz |
Source Repository | git clone https://git.bioconductor.org/packages/SuperCellCyto |
Source Repository (Developer Access) | git clone git@git.bioconductor.org:packages/SuperCellCyto |
Bioc Package Browser | https://code.bioconductor.org/browse/SuperCellCyto/ |
Package Short Url | https://bioconductor.org/packages/SuperCellCyto/ |
Package Downloads Report | Download Stats |