HDCytoData

DOI: 10.18129/B9.bioc.HDCytoData    

This is the development version of HDCytoData; to use it, please install the devel version of Bioconductor.

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

Bioconductor version: Development (3.10)

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 <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")

# 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.

Documentation

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

browseVignettes("HDCytoData")

 

HTML R Script HDCytoData package
PDF   Reference Manual
Text   NEWS
Text   LICENSE

Details

biocViews ExperimentData, ExperimentHub, ExpressionData, FlowCytometryData, Homo_sapiens_Data, ImmunoOncologyData
Version 1.5.12
License MIT + file LICENSE
Depends ExperimentHub, SummarizedExperiment, flowCore
Imports utils, methods
LinkingTo
Suggests BiocStyle, knitr, rmarkdown
SystemRequirements
Enhances
URL https://github.com/lmweber/HDCytoData
BugReports https://github.com/lmweber/HDCytoData/issues
Depends On Me cytofWorkflow
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_1.5.12.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/
Package Downloads Report Download Stats

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