CySA
Interactive Cluster Selector for Cytometry Data
Bioconductor version: 3.24 · Package version: 0.99.28
CySA provides an interactive Shiny-based tool for analyzing flow and mass cytometry data. It supports self-organizing map (SOM) based clustering, dimension reduction (t-SNE, UMAP, PCA), and statistical comparison of cell populations across sample groups. Users can select cell clusters interactively via 2D scatter plots, dendrograms, or SOM node grids, and explore marker expression patterns across the selected populations.
Installation
if (!require("BiocManager", quietly = TRUE))
install.packages("BiocManager")
BiocManager::install("CySA") Details
| Maintainer | Bernd Jagla <bernd.jagla@pasteur.fr> |
| Author | Bernd Jagla [aut, cre] (ORCID: <https://orcid.org/0000-0002-7696-0484>) |
| License | MIT + file LICENSE |
| URL | https://github.com/baj12/CySA |
| Bug Reports | https://github.com/baj12/CySA/issues |
| Source branch | devel |
| biocViews | Clustering, FlowCytometry, ShinyApps, SingleCell, Software, Visualization |
Documentation
Download
Follow the installation instructions to use this package in your R session.
| Source package | CySA_0.99.28.tar.gz |
| Windows binary (x86_64) | CySA_0.99.28.zip |
| macOS binary (arm64) | CySA_0.99.28.tgz |
| macOS binary (x86_64) | CySA_0.99.28.tgz |
Dependencies
Depends: R (>= 4.5.0)
Imports: shiny, shinydashboard, shinydashboardPlus, shinyjs, shinyjqui, htmltools, SingleCellExperiment, S4Vectors, SummarizedExperiment, Matrix, tidyselect, matrixStats, RColorBrewer, CATALYST, FlowSOM, dplyr, tidyr, tibble, data.table, stringr, purrr, reshape2, rlang, raster, ggplot2, plotly, viridis, dendextend, ComplexHeatmap, cowplot, Rtsne, umap, DT, collapsibleTree, withr
Suggests: KernSmooth, knitr, jsonlite, rmarkdown, shinytest2, testthat (>= 3.0.0)