Package: diffcyt
Version: 1.33.1
Title: Differential discovery in high-dimensional cytometry via
        high-resolution clustering
Description: Statistical methods for differential discovery analyses in
        high-dimensional cytometry data (including flow cytometry, mass
        cytometry or CyTOF, and oligonucleotide-tagged cytometry),
        based on a combination of high-resolution clustering and
        empirical Bayes moderated tests adapted from transcriptomics.
Authors@R: c(
    person("Lukas M.", "Weber", 
           email = "weberlm3@gmail.com", 
           role = c("aut", "cre"), 
           comment = c(ORCID = "0000-0002-3282-1730")))
URL: https://github.com/lmweber/diffcyt
BugReports: https://github.com/lmweber/diffcyt/issues
License: MIT + file LICENSE
biocViews: ImmunoOncology, FlowCytometry, Proteomics, SingleCell,
        CellBasedAssays, CellBiology, Clustering, FeatureExtraction,
        Software
Depends: R (>= 3.4.0)
Imports: flowCore, FlowSOM, SummarizedExperiment, S4Vectors, limma,
        edgeR, lme4, multcomp, dplyr, tidyr, reshape2, magrittr, stats,
        methods, utils, grDevices, graphics, ComplexHeatmap, circlize,
        grid
VignetteBuilder: knitr
Suggests: BiocStyle, knitr, rmarkdown, testthat, HDCytoData, CATALYST
RoxygenNote: 7.1.1
Config/pak/sysreqs: cmake libfontconfig1-dev libfreetype6-dev
        libglpk-dev make libicu-dev libpng-dev libxml2-dev libssl-dev
        perl zlib1g-dev
Repository: https://bioc.r-universe.dev
Date/Publication: 2026-07-14 16:00:12 UTC
RemoteUrl: https://github.com/bioc/diffcyt
RemoteRef: HEAD
RemoteSha: 5bf964c4ad8511dd7b08980cbcb4dcbc7a098485
NeedsCompilation: no
Packaged: 2026-07-14 21:44:39 UTC; root
Author: Lukas M. Weber [aut, cre] (ORCID:
    <https://orcid.org/0000-0002-3282-1730>)
Maintainer: Lukas M. Weber <weberlm3@gmail.com>