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This is the development version of flowClust; for the stable release version, see flowClust.

Clustering for Flow Cytometry

Bioconductor version: Development (3.19)

Robust model-based clustering using a t-mixture model with Box-Cox transformation. Note: users should have GSL installed. Windows users: 'consult the README file available in the inst directory of the source distribution for necessary configuration instructions'.

Author: Raphael Gottardo, Kenneth Lo <c.lo at>, Greg Finak <greg at>

Maintainer: Greg Finak <greg at>, Mike Jiang <mike at>

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


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

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

# The following initializes usage of Bioc devel


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:

Robust Model-based Clustering of Flow Cytometry Data\\ The flowClust package HTML R Script
Reference Manual PDF


biocViews Clustering, FlowCytometry, ImmunoOncology, Software, Visualization
Version 3.41.1
In Bioconductor since BioC 2.2 (R-2.7) (16 years)
License MIT
Depends R (>= 2.5.0)
Imports BiocGenerics, methods, Biobase, graph, flowCore, parallel
System Requirements GNU make
See More
Suggests testthat, flowWorkspace, flowWorkspaceData, knitr, rmarkdown, openCyto, flowStats(>= 4.7.1)
Linking To
Depends On Me flowMerge, flowTrans
Imports Me CONFESS, cyanoFilter, flowTrans, openCyto
Suggests Me BiocGenerics, flowTime
Links To Me
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Follow Installation instructions to use this package in your R session.

Source Package flowClust_3.41.1.tar.gz
Windows Binary
macOS Binary (x86_64) flowClust_3.41.1.tgz
macOS Binary (arm64)
Source Repository git clone
Source Repository (Developer Access) git clone
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