cydar

This is the released version of cydar; for the devel version, see cydar.

Using Mass Cytometry for Differential Abundance Analyses


Bioconductor version: Release (3.20)

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 gmail.com>

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

Installation

To install this package, start R (version "4.4") and enter:


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

BiocManager::install("cydar")

For older versions of R, please refer to the appropriate Bioconductor release.

Documentation

To view documentation for the version of this package installed in your system, start R and enter:

browseVignettes("cydar")
Detecting differential abundance HTML R Script
Reference Manual PDF
NEWS Text

Details

biocViews FlowCytometry, ImmunoOncology, MultipleComparison, Proteomics, SingleCell, Software
Version 1.30.0
In Bioconductor since BioC 3.5 (R-3.4) (7.5 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
Linking To Rcpp
Enhances
Depends On Me
Imports Me
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Package Archives

Follow Installation instructions to use this package in your R session.

Source Package cydar_1.30.0.tar.gz
Windows Binary (x86_64) cydar_1.30.0.zip
macOS Binary (x86_64) cydar_1.30.0.tgz
macOS Binary (arm64) cydar_1.30.0.tgz
Source Repository git clone https://git.bioconductor.org/packages/cydar
Source Repository (Developer Access) git clone [email protected]:packages/cydar
Bioc Package Browser https://code.bioconductor.org/browse/cydar/
Package Short Url https://bioconductor.org/packages/cydar/
Package Downloads Report Download Stats