Registration Open for Bioc2024 July 24-26


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

Identifying differential cell populations in flow cytometry data accounting for marker frequency

Bioconductor version: Development (3.20)

Identifies maximal differential cell populations in flow cytometry data taking into account dependencies between cell populations; flowGraph calculates and plots SpecEnr abundance scores given cell population cell counts.

Author: Alice Yue [aut, cre]

Maintainer: Alice Yue <aya43 at>

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


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:

flowGraph HTML R Script
Reference Manual PDF


biocViews CellBasedAssays, FlowCytometry, ImmunoOncology, Software, StatisticalMethod, Visualization
Version 1.13.0
In Bioconductor since BioC 3.13 (R-4.1) (3 years)
License Artistic-2.0
Depends R (>= 4.1)
Imports effsize, furrr, future, purrr, ggiraph, ggrepel, ggplot2, igraph, Matrix, matrixStats, stats, utils, visNetwork, htmlwidgets, grDevices, methods, stringr, stringi, Rdpack, data.table (>= 1.9.5), gridExtra
System Requirements
Bug Reports
See More
Suggests BiocStyle, dplyr, knitr, rmarkdown, testthat (>= 2.1.0)
Linking To
Depends On Me
Imports Me
Suggests Me
Links To Me
Build Report Build Report

Package Archives

Follow Installation instructions to use this package in your R session.

Source Package flowGraph_1.13.0.tar.gz
Windows Binary (64-bit only)
macOS Binary (x86_64) flowGraph_1.13.0.tgz
macOS Binary (arm64) flowGraph_1.13.0.tgz
Source Repository git clone
Source Repository (Developer Access) git clone
Bioc Package Browser
Package Short Url
Package Downloads Report Download Stats