Package: cydar
Version: 1.34.0
Date: 2024-08-11
Title: Using Mass Cytometry for Differential Abundance Analyses
Authors@R: c(person("Aaron", "Lun", role=c("aut", "cre"), email = 
        "infinite.monkeys.with.keyboards@gmail.com"))
Depends: SingleCellExperiment
Imports: viridis, methods, shiny, graphics, stats, grDevices, utils,
        BiocGenerics, S4Vectors, BiocParallel, SummarizedExperiment,
        flowCore, Biobase, Rcpp, BiocNeighbors
Suggests: ncdfFlow, testthat, rmarkdown, knitr, edgeR, limma, glmnet,
        BiocStyle, flowStats
biocViews: ImmunoOncology, FlowCytometry, MultipleComparison,
        Proteomics, SingleCell
Description: 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.
License: GPL-3
NeedsCompilation: yes
VignetteBuilder: knitr
LinkingTo: Rcpp
SystemRequirements: C++11
RoxygenNote: 7.3.2
Config/pak/sysreqs: make zlib1g-dev
Repository: https://bioc-release.r-universe.dev
Date/Publication: 2025-10-29 14:37:34 UTC
RemoteUrl: https://github.com/bioc/cydar
RemoteRef: RELEASE_3_22
RemoteSha: 92bf565cdacf5b4e00b820af2be8933cfc2990d6
Packaged: 2026-02-03 08:27:58 UTC; root
Author: Aaron Lun [aut, cre]
Maintainer: Aaron Lun <infinite.monkeys.with.keyboards@gmail.com>
Built: R 4.5.2; x86_64-w64-mingw32; 2026-02-03 08:30:08 UTC; windows
Archs: x64
