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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

MaintainerBernd Jagla <bernd.jagla@pasteur.fr>
AuthorBernd Jagla [aut, cre] (ORCID: <https://orcid.org/0000-0002-7696-0484>)
LicenseMIT + file LICENSE
URLhttps://github.com/baj12/CySA
Bug Reportshttps://github.com/baj12/CySA/issues
Source branchdevel
biocViewsClustering, FlowCytometry, ShinyApps, SingleCell, Software, Visualization

Documentation

Download

Follow the installation instructions to use this package in your R session.

Source packageCySA_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)