This is the development version of HDCytoData; for the stable release version, see HDCytoData.
Collection of high-dimensional cytometry benchmark datasets in Bioconductor object formatsBioconductor version: Development (3.22)
Data package containing a set of publicly available high-dimensional cytometry benchmark datasets, formatted into SummarizedExperiment and flowSet Bioconductor object formats, including all required metadata. Row metadata includes sample IDs, group IDs, patient IDs, reference cell population or cluster labels (where available), and labels identifying 'spiked in' cells (where available). Column metadata includes channel names, protein marker names, and protein marker classes (cell type or cell state).
Author: Lukas M. Weber [aut, cre], Charlotte Soneson [aut]
Maintainer: Lukas M. Weber <lmweberedu at gmail.com>
Citation (from within R, entercitation("HDCytoData")): 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("HDCytoData")
For older versions of R, please refer to the appropriate Bioconductor release.
DocumentationTo view documentation for the version of this package installed in your system, start R and enter:
browseVignettes("HDCytoData")Follow Installation instructions to use this package in your R session.
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