tidyFlowCore
tidyFlowCore: Bringing flowCore to the tidyverse
Bioconductor version: 3.23 · Package version: 1.6.0
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.
Installation
if (!require("BiocManager", quietly = TRUE))
install.packages("BiocManager")
BiocManager::install("tidyFlowCore") Details
| Maintainer | Timothy Keyes <tkeyes@stanford.edu> |
| Author | Timothy Keyes [cre] (ORCID: <https://orcid.org/0000-0003-0423-9679>), Kara Davis [rth, own], Garry Nolan [rth, own] |
| License | MIT + file LICENSE |
| URL | https://github.com/keyes-timothy/tidyFlowCore, https://keyes-timothy.github.io/tidyFlowCore/ |
| Bug Reports | https://github.com/keyes-timothy/tidyFlowCore/issues |
| Downloads rank | 151 |
| Source branch | RELEASE_3_23 |
| biocViews | FlowCytometry, Infrastructure, SingleCell, Software |
Documentation
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Dependencies
Depends: R (>= 4.3)
Imports: Biobase, dplyr, flowCore, ggplot2, methods, purrr, rlang, stats, stringr, tibble, tidyr
Suggests: BiocStyle, HDCytoData, knitr, RefManageR, rmarkdown, sessioninfo, testthat (>= 3.0.0)