DOI: 10.18129/B9.bioc.HDCytoData    

This package is for version 3.15 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: 3.15

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 <lukas.weber.edu at gmail.com>

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


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HTML R Script 1. HDCytoData package
HTML R Script 2. Examples and use cases
HTML R Script 3. Contribution guidelines
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biocViews ExperimentData, ExperimentHub, ExpressionData, FlowCytometryData, Homo_sapiens_Data, ImmunoOncologyData, SingleCellData
Version 1.16.0
License MIT + file LICENSE
Depends ExperimentHub, SummarizedExperiment, flowCore
Imports utils, methods
Suggests BiocStyle, knitr, rmarkdown, Rtsne, umap, ggplot2, FlowSOM, mclust
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
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Source Package HDCytoData_1.16.0.tar.gz
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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 https://bioconductor.org/packages/HDCytoData/
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