DOI: 10.18129/B9.bioc.flowGraph  

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 (3.18)

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, enter citation("flowGraph")):


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biocViews CellBasedAssays, FlowCytometry, ImmunoOncology, Software, StatisticalMethod, Visualization
Version 1.9.0
In Bioconductor since BioC 3.13 (R-4.1) (2 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
Suggests BiocStyle, dplyr, knitr, rmarkdown, testthat (>= 2.1.0)
URL https://github.com/aya49/flowGraph
BugReports https://github.com/aya49/flowGraph/issues
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Source Package flowGraph_1.9.0.tar.gz
Windows Binary flowGraph_1.9.0.zip
macOS Binary (x86_64) flowGraph_1.9.0.tgz
macOS Binary (arm64) flowGraph_1.9.0.tgz
Source Repository git clone https://git.bioconductor.org/packages/flowGraph
Source Repository (Developer Access) git clone git@git.bioconductor.org:packages/flowGraph
Bioc Package Browser https://code.bioconductor.org/browse/flowGraph/
Package Short Url https://bioconductor.org/packages/flowGraph/
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