DOI: 10.18129/B9.bioc.HDCytoData    

This is the development version of HDCytoData; for the stable release version, see HDCytoData.

Collection of high-dimensional cytometry benchmark datasets in Bioconductor object formats

Bioconductor version: Development (3.9)

Data package containing a collection of high-dimensional cytometry benchmark datasets saved in SummarizedExperiment and flowSet Bioconductor object formats, including row and column metadata describing samples, cell populations (clusters), and protein markers.

Author: Lukas M. Weber [aut, cre], Charlotte Soneson [aut]

Maintainer: Lukas M. Weber <lukmweber at gmail.com>

Citation (from within R, enter citation("HDCytoData")):


To install this package, start R (version "3.6") and enter:

if (!requireNamespace("BiocManager", quietly = TRUE))
BiocManager::install("HDCytoData", version = "3.9")

For older versions of R, please refer to the appropriate Bioconductor release.


To view documentation for the version of this package installed in your system, start R and enter:



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biocViews ExperimentData, ExperimentHub, ExpressionData, FlowCytometryData, Homo_sapiens_Data, ImmunoOncologyData
Version 1.3.8
License MIT + file LICENSE
Depends ExperimentHub, SummarizedExperiment, flowCore
Imports utils, methods
Suggests BiocStyle, knitr, rmarkdown, FlowSOM, Rtsne, ggplot2
URL https://github.com/lmweber/HDCytoData
BugReports https://github.com/lmweber/HDCytoData/issues
Depends On Me
Imports Me
Suggests Me diffcyt
Links To Me
Build Report  

Package Archives

Follow Installation instructions to use this package in your R session.

Source Package HDCytoData_1.3.8.tar.gz
Windows Binary
Mac OS X 10.11 (El Capitan)
Source Repository git clone https://git.bioconductor.org/packages/HDCytoData
Source Repository (Developer Access) git clone git@git.bioconductor.org:packages/HDCytoData
Package Short Url http://bioconductor.org/packages/HDCytoData/
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