Registration Open for Bioc2024 July 24-26


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

Bioconductor version: Release (3.19)

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))


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 1.12.0
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_1.12.0.tar.gz
Windows Binary
macOS Binary (x86_64) flowGraph_1.12.0.tgz
macOS Binary (arm64) flowGraph_1.12.0.tgz
Source Repository git clone
Source Repository (Developer Access) git clone
Bioc Package Browser
Package Short Url
Package Downloads Report Download Stats