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

Statistical methods for the analysis of flow cytometry data

Bioconductor version: Development (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))

# The following initializes usage of Bioc devel


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


Reference Manual PDF


biocViews CellBasedAssays, FlowCytometry, ImmunoOncology, Software
Version 4.15.1
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, ncdfFlow, openCyto
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