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Using Mass Cytometry for Differential Abundance Analyses

Bioconductor version: Release (3.19)

Identifies differentially abundant populations between samples and groups in mass cytometry data. Provides methods for counting cells into hyperspheres, controlling the spatial false discovery rate, and visualizing changes in abundance in the high-dimensional marker space.

Author: Aaron Lun [aut, cre]

Maintainer: Aaron Lun <infinite.monkeys.with.keyboards at>

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


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if (!require("BiocManager", quietly = TRUE))


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Detecting differential abundance HTML R Script
Reference Manual PDF


biocViews FlowCytometry, ImmunoOncology, MultipleComparison, Proteomics, SingleCell, Software
Version 1.28.0
In Bioconductor since BioC 3.5 (R-3.4) (7 years)
License GPL-3
Depends SingleCellExperiment
Imports viridis, methods, shiny, graphics, stats, grDevices, utils, BiocGenerics, S4Vectors, BiocParallel, SummarizedExperiment, flowCore, Biobase, Rcpp, BiocNeighbors
System Requirements C++11
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Suggests ncdfFlow, testthat, rmarkdown, knitr, edgeR, limma, glmnet, BiocStyle, flowStats
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Source Package cydar_1.28.0.tar.gz
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