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HDCytoData

This is thereleased version of HDCytoData; for the devel version, seeHDCytoData.

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

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DOI: 10.18129/B9.bioc.HDCytoData


Bioconductor version: Release (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 <lmweb012 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")BiocManager::install("HDCytoData")

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

Documentation

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

browseVignettes("HDCytoData")
1. HDCytoData packageHTMLR Script
2. Examples and use casesHTMLR Script
3. Contribution guidelinesHTMLR Script
Reference ManualPDF
NEWSText
LICENSEText

Need some help? Ask on the Bioconductor Support site!

Details

biocViewsExperimentData,ExperimentHub,ExpressionData,FlowCytometryData,Homo_sapiens_Data,ImmunoOncologyData,SingleCellData
Version1.30.0
LicenseMIT + fileLICENSE
DependsExperimentHub,SummarizedExperiment,flowCore
Importsutils, methods
System Requirements
URLhttps://github.com/lmweber/HDCytoData
Bug Reportshttps://github.com/lmweber/HDCytoData/issues
See More
SuggestsBiocStyle,knitr,rmarkdown,Rtsne,umap,ggplot2,FlowSOM,mclust
Linking To
Enhances
Depends On MecytofWorkflow
Imports Me
Suggests MeCytoMDS,diffcyt,tidyFlowCore
Links To Me
Build ReportBuild Report

Package Archives

FollowInstallation instructions to use this package in your R session.

Source PackageHDCytoData_1.30.0.tar.gz
Windows Binary (x86_64)
macOS Binary (x86_64)
macOS Binary (arm64)
Source Repositorygit clone https://git.bioconductor.org/packages/HDCytoData
Source Repository (Developer Access)git clone git@git.bioconductor.org:packages/HDCytoData
Package Short Urlhttps://bioconductor.org/packages/HDCytoData/
Package Downloads ReportDownload Stats

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