This is the released version of tidyFlowCore; for the devel version, see tidyFlowCore.
tidyFlowCore: Bringing flowCore to the tidyverseBioconductor version: Release (3.21)
tidyFlowCore bridges the gap between flow cytometry analysis using the flowCore Bioconductor package and the tidy data principles advocated by the tidyverse. It provides a suite of dplyr-, ggplot2-, and tidyr-like verbs specifically designed for working with flowFrame and flowSet objects as if they were tibbles; however, your data remain flowCore data structures under this layer of abstraction. tidyFlowCore enables intuitive and streamlined analysis workflows that can leverage both the Bioconductor and tidyverse ecosystems for cytometry data.
Author: Timothy Keyes [cre] ORCID: 0000-0003-0423-9679 , Kara Davis [rth, own], Garry Nolan [rth, own]
Maintainer: Timothy Keyes <tkeyes at stanford.edu>
Citation (from within R, entercitation("tidyFlowCore")
): Installation
To install this package, start R (version "4.5") and enter:
if (!require("BiocManager", quietly = TRUE))
install.packages("BiocManager")
BiocManager::install("tidyFlowCore")
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("tidyFlowCore")
Details biocViews FlowCytometry, Infrastructure, SingleCell, Software Version 1.2.0 In Bioconductor since BioC 3.20 (R-4.4) (0.5 years) License MIT + file LICENSE Depends R (>= 4.3) Imports Biobase, dplyr, flowCore, ggplot2, methods, purrr, rlang, stats, stringr, tibble, tidyr System Requirements URL https://github.com/keyes-timothy/tidyFlowCore https://keyes-timothy.github.io/tidyFlowCore/ Bug Reports https://github.com/keyes-timothy/tidyFlowCore/issues See More Package Archives
Follow Installation instructions to use this package in your R session.
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