DOI: 10.18129/B9.bioc.HDCytoData
This package is for version 3.9 of Bioconductor;
for the stable, up-to-date release version, see
HDCytoData.
Collection of high-dimensional cytometry benchmark datasets in Bioconductor object formats
Bioconductor version: 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")
):
Installation
To install this package, start R (version
“3.6”) and enter:
if (!requireNamespace("BiocManager", quietly = TRUE)) install.packages("BiocManager") BiocManager::install("HDCytoData")
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("HDCytoData")
Details
biocViews | ExperimentData, ExperimentHub, ExpressionData, FlowCytometryData, Homo_sapiens_Data, ImmunoOncologyData |
Version | 1.4.0 |
License | MIT + file LICENSE |
Depends | ExperimentHub, SummarizedExperiment, flowCore |
Imports | utils, methods |
LinkingTo | |
Suggests | BiocStyle, knitr, rmarkdown |
SystemRequirements | |
Enhances | |
URL | github.com/lmweber/HDCytoData |
BugReports | github.com/lmweber/HDCytoData/issues |
Depends On Me | cytofWorkflow |
Imports Me | |
Suggests Me | diffcyt |
Links To Me | |
Build Report |
Package Archives
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Installation instructions to use this
package in your R session.
Read more here: Source link