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immunoClust - Automated Pipeline for Population Detection in Flow Cytometry

Bioconductor version: Release (3.19)

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.

Author: Till Soerensen [aut, cre]

Maintainer: Till Soerensen <till.soerensen at>

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


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

if (!require("BiocManager", quietly = TRUE))


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


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

immunoClust package PDF R Script
Reference Manual PDF


biocViews CellBasedAssays, Clustering, FlowCytometry, ImmunoOncology, SingleCell, Software
Version 1.36.0
In Bioconductor since BioC 3.1 (R-3.2) (9.5 years)
License Artistic-2.0
Depends R (>= 3.6), flowCore
Imports methods, stats, graphics, grid, lattice, grDevices
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Suggests BiocStyle, utils, testthat
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Follow Installation instructions to use this package in your R session.

Source Package immunoClust_1.36.0.tar.gz
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macOS Binary (x86_64) immunoClust_1.36.0.tgz
macOS Binary (arm64) immunoClust_1.36.0.tgz
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Source Repository (Developer Access) git clone
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