DOI: 10.18129/B9.bioc.cydar    

This is the development version of cydar; for the stable release version, see cydar.

Using Mass Cytometry for Differential Abundance Analyses

Bioconductor version: Development (3.15)

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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biocViews FlowCytometry, ImmunoOncology, MultipleComparison, Proteomics, SingleCell, Software
Version 1.19.0
In Bioconductor since BioC 3.5 (R-3.4) (4.5 years)
License GPL-3
Depends SingleCellExperiment
Imports viridis, methods, shiny, graphics, stats, grDevices, utils, BiocGenerics, S4Vectors, BiocParallel, SummarizedExperiment, flowCore, Biobase, Rcpp, BiocNeighbors
LinkingTo Rcpp
Suggests ncdfFlow, testthat, rmarkdown, knitr, edgeR, limma, glmnet, BiocStyle, flowStats
SystemRequirements C++11
Depends On Me
Imports Me
Suggests Me
Links To Me
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