CySA
This is the development version of CySA; to use it, please install the devel version of Bioconductor.
Interactive Cluster Selector for Cytometry Data
Bioconductor version: Development (3.24)
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.
Author: Bernd Jagla [aut, cre]
Maintainer: Bernd Jagla <bernd.jagla at pasteur.fr>
citation("CySA")):
Huber W, Carey VJ, Gentleman R, Anders S, Carlson M, Carvalho BS, Bravo HC, Davis S, Gatto L, Girke T, Gottardo R, Hahne F, Hansen KD, Irizarry RA, Lawrence M, Love MI, MacDonald J, Obenchain V, Oleś AK, Pagès H, Reyes A, Shannon P, Smyth GK, Tenenbaum D, Waldron L, Morgan M (2015). "Orchestrating high-throughput genomic analysis with Bioconductor." Nature Methods, 12(2), 115–121. doi:10.1038/nmeth.3252.
Gentleman RC, Carey VJ, Bates DM, Bolstad B, Dettling M, Dudoit S, Ellis B, Gautier L, Ge Y, Gentry J, Hornik K, Hothorn T, Huber W, Iacus S, Irizarry R, Leisch F, Li C, Maechler M, Rossini AJ, Sawitzki G, Smith C, Smyth G, Tierney L, Yang JYH, Zhang J (2004). "Bioconductor: open software development for computational biology and bioinformatics." Genome Biology, 5(10), R80. doi:10.1186/gb-2004-5-10-r80.
Installation
To install this package, start R (version "4.6") and enter:
if (!require("BiocManager", quietly = TRUE))
install.packages("BiocManager")
## The following initializes the development version of Bioconductor
BiocManager::install(version = "devel")
BiocManager::install("CySA")
For older versions of R, please refer to the appropriate Bioconductor release.
Documentation
| Reference Manual |
Details
| biocViews | Clustering, FlowCytometry, ShinyApps, SingleCell, Software, Visualization |
| Version | 0.99.28 |
| In Bioconductor since | BioC 3.24 (R-4.6) |
| License | MIT + file LICENSE |
| 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 |
| System Requirements | |
| URL | https://github.com/baj12/CySA |
| Bug Reports | https://github.com/baj12/CySA/issues |
See More
| Suggests | KernSmooth, knitr, jsonlite, rmarkdown, shinytest2, testthat (>= 3.0.0) |
| Linking To | |
| Enhances | |
| Depends On Me | |
| Imports Me | |
| Suggests Me | |
| Links To Me | |
| Build Report | Build Report |
Package Archives
Follow Installation instructions to use this package in your R session.
| Source Package | |
| Windows Binary (x86_64) | |
| macOS Binary (big-sur-x86_64) | |
| macOS Binary (sonoma-arm64) | |
| Source Repository | git clone https://git.bioconductor.org/packages/CySA |
| Source Repository (Developer Access) | git clone git@git.bioconductor.org:packages/CySA |
| Package Short Url | https://bioconductor.org/packages/CySA/ |
| Package Downloads Report | Download Stats |