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

Non-parametric Flow Cytometry Data Gating

Bioconductor version: Development (3.20)

Identifies cell populations in Flow Cytometry data using non-parametric clustering and segmented-regression-based change point detection. Note: R 2.11.0 or newer is required.

Author: Nima Aghaeepour

Maintainer: Nima Aghaeepour <naghaeep at>

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


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:

flowMeans: Non-parametric Flow Cytometry Data Gating PDF R Script
Reference Manual PDF


biocViews CellBiology, Clustering, FlowCytometry, ImmunoOncology, Software
Version 1.65.0
In Bioconductor since BioC 2.6 (R-2.11) (14 years)
License Artistic-2.0
Depends R (>= 2.10.0)
Imports Biobase, graphics, grDevices, methods, rrcov, stats, feature, flowCore
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