Package: immunoClust
Type: Package
Title: immunoClust - Automated Pipeline for Population Detection in
        Flow Cytometry
Version: 1.43.0
Date: 2025-09-18
Authors@R: person("Till", "Soerensen", email="till.soerensen@bioretis.com",
                    role=c("aut", "cre"))
Maintainer: Till Soerensen <till.soerensen@bioretis.com>
Depends: R(>= 4.2), flowCore
Imports: methods, stats, graphics, grid, lattice, grDevices
Suggests: BiocStyle, utils, testthat
Description: immunoClust is a model based clustering approach for Flow
        Cytometry samples. The cell-events of single Flow Cytometry
        samples are modelled by a mixture of multinominal normal- or
        t-distributions. The cell-event clusters of several samples are
        modelled by a mixture of multinominal normal-distributions
        aiming stable co-clusters across these samples.
Collate: generics.R class.immunoClust.R plot.immunoClust.R
        splom.immunoClust.R methods.immunoClust.R class.immunoMeta.R
        plot.immunoMeta.R methods.immunoMeta.R data.R process.R
        cell.clustering.R meta.clustering.R meta.annotation.R
        meta.SON.R meta.export.R clust.util.R transform.R
biocViews: Clustering, FlowCytometry, SingleCell, CellBasedAssays,
        ImmunoOncology
License: Artistic-2.0
Repository: https://bioc.r-universe.dev
Date/Publication: 2025-10-29 14:24:29 UTC
RemoteUrl: https://github.com/bioc/immunoClust
RemoteRef: HEAD
RemoteSha: 166e477a0044c6f0d1d934c80b7036b95cd2cc83
NeedsCompilation: yes
Packaged: 2026-02-23 06:42:27 UTC; root
Author: Till Soerensen [aut, cre]
Built: R 4.6.0; x86_64-w64-mingw32; 2026-02-23 06:44:14 UTC; windows
Archs: x64
