HDCytoData
Collection of high-dimensional cytometry benchmark datasets in Bioconductor object formats
Bioconductor version: 3.23 · Package version: 1.32.1
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).
Installation
if (!require("BiocManager", quietly = TRUE))
install.packages("BiocManager")
BiocManager::install("HDCytoData") Details
| Maintainer | Lukas M. Weber <weberlm3@gmail.com> |
| Author | Lukas M. Weber [aut, cre], Charlotte Soneson [aut] |
| License | MIT + file LICENSE |
| URL | https://github.com/lmweber/HDCytoData |
| Bug Reports | https://github.com/lmweber/HDCytoData/issues |
| Downloads rank | 323 |
| Source branch | RELEASE_3_23 |
| biocViews | ExperimentData, ExperimentHub, ExpressionData, FlowCytometryData, Homo_sapiens_Data, ImmunoOncologyData, SingleCellData |
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Dependencies
Depends: ExperimentHub, SummarizedExperiment, flowCore
Suggests: BiocStyle, knitr, rmarkdown, Rtsne, umap, ggplot2, FlowSOM, mclust
Reverse dependencies
Depends On Me (1): cytofWorkflow
Suggests Me (5): CytoMDS, diffcyt, MDSvis, tidyFlowCore, tidytof