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cydar

Using Mass Cytometry for Differential Abundance Analyses

Bioconductor version: 3.23 · Package version: 1.36.0

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.

Installation

if (!require("BiocManager", quietly = TRUE))
    install.packages("BiocManager")

BiocManager::install("cydar")

Details

MaintainerAaron Lun <infinite.monkeys.with.keyboards@gmail.com>
AuthorAaron Lun [aut, cre]
LicenseGPL-3
System RequirementsC++11
Downloads rank590
Source branchRELEASE_3_23
biocViewsFlowCytometry, ImmunoOncology, MultipleComparison, Proteomics, SingleCell, Software

Documentation

Download

Follow the installation instructions to use this package in your R session.

Source packagecydar_1.36.0.tar.gz
Windows binary (x86_64)cydar_1.36.0.zip
macOS binary (arm64)cydar_1.36.0.tgz
macOS binary (x86_64)cydar_1.36.0.tgz
Dependencies

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