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 frequencyBioconductor version: Development (3.22)
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 sfu.ca>
Citation (from within R, entercitation("flowGraph")
): Installation
To install this package, start R (version "4.5") and enter:
if (!require("BiocManager", quietly = TRUE))
install.packages("BiocManager")
# The following initializes usage of Bioc devel
BiocManager::install(version='devel')
BiocManager::install("flowGraph")
For older versions of R, please refer to the appropriate Bioconductor release.
DocumentationTo view documentation for the version of this package installed in your system, start R and enter:
browseVignettes("flowGraph")
Details biocViews CellBasedAssays, FlowCytometry, ImmunoOncology, Software, StatisticalMethod, Visualization Version 1.17.0 In Bioconductor since BioC 3.13 (R-4.1) (4 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 URL https://github.com/aya49/flowGraph Bug Reports https://github.com/aya49/flowGraph/issues See More Package Archives
Follow Installation instructions to use this package in your R session.
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