flowGraph
Identifying differential cell populations in flow cytometry data accounting for marker frequency
Bioconductor version: 3.24 · Package version: 1.21.0
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.
Installation
if (!require("BiocManager", quietly = TRUE))
install.packages("BiocManager")
BiocManager::install("flowGraph")Details
| Maintainer | Alice Yue <aya43@sfu.ca> |
| Author | Alice Yue [aut, cre] |
| License | Artistic-2.0 |
| URL | https://github.com/aya49/flowGraph |
| Bug Reports | https://github.com/aya49/flowGraph/issues |
| Downloads rank | 360 |
| Source branch | devel |
| biocViews | CellBasedAssays, FlowCytometry, ImmunoOncology, Software, StatisticalMethod, Visualization |
Documentation
Download
Follow the installation instructions to use this package in your R session.
| Source package | flowGraph_1.21.0.tar.gz |
| Windows binary (x86_64) | flowGraph_1.21.0.zip |
| macOS binary (arm64) | flowGraph_1.21.0.tgz |
| macOS binary (x86_64) | flowGraph_1.21.0.tgz |
Dependencies
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)