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Statistical methods for the analysis of flow cytometry data

Bioconductor version: Release (3.19)

Methods and functionality to analyse flow data that is beyond the basic infrastructure provided by the flowCore package.

Author: Florian Hahne, Nishant Gopalakrishnan, Alireza Hadj Khodabakhshi, Chao-Jen Wong, Kyongryun Lee

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

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


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:

flowStats Overview PDF R Script
Reference Manual PDF


biocViews CellBasedAssays, FlowCytometry, ImmunoOncology, Software
Version 4.16.0
In Bioconductor since BioC 2.4 (R-2.9) (15 years)
License Artistic-2.0
Depends R (>= 3.0.2)
Imports BiocGenerics, MASS, flowCore(>= 1.99.6), flowWorkspace, ncdfFlow(>= 2.19.5), flowViz, fda (>= 2.2.6), Biobase, methods, grDevices, graphics, stats, cluster, utils, KernSmooth, lattice, ks, RColorBrewer, rrcov, corpcor, mnormt, clue
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Suggests xtable, testthat, openCyto, ggcyto, ggridges
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Enhances RBGL, graph
Depends On Me flowVS, highthroughputassays
Imports Me
Suggests Me cydar, flowClust, flowCore, flowTime, flowViz, ggcyto, openCyto
Links To Me
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Follow Installation instructions to use this package in your R session.

Source Package flowStats_4.16.0.tar.gz
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macOS Binary (x86_64) flowStats_4.16.0.tgz
macOS Binary (arm64) flowStats_4.16.0.tgz
Source Repository git clone
Source Repository (Developer Access) git clone
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