CytoMDS

Low Dimensions projection of cytometry samples


Bioconductor version: Release (3.20)

This package implements a low dimensional visualization of a set of cytometry samples, in order to visually assess the 'distances' between them. This, in turn, can greatly help the user to identify quality issues like batch effects or outlier samples, and/or check the presence of potential sample clusters that might align with the exeprimental design. The CytoMDS algorithm combines, on the one hand, the concept of Earth Mover's Distance (EMD), a.k.a. Wasserstein metric and, on the other hand, the Multi Dimensional Scaling (MDS) algorithm for the low dimensional projection. Also, the package provides some diagnostic tools for both checking the quality of the MDS projection, as well as tools to help with the interpretation of the axes of the projection.

Author: Philippe Hauchamps [aut, cre] , Laurent Gatto [aut] , Dan Lin [ctb]

Maintainer: Philippe Hauchamps <philippe.hauchamps at uclouvain.be>

Citation (from within R, enter citation("CytoMDS")):

Installation

To install this package, start R (version "4.4") and enter:


if (!require("BiocManager", quietly = TRUE))
    install.packages("BiocManager")

BiocManager::install("CytoMDS")

For older versions of R, please refer to the appropriate Bioconductor release.

Documentation

To view documentation for the version of this package installed in your system, start R and enter:

browseVignettes("CytoMDS")
Low Dimensional Projection of Cytometry Samples HTML R Script
Reference Manual PDF
NEWS Text
LICENSE Text

Details

biocViews DimensionReduction, FlowCytometry, MultidimensionalScaling, QualityControl, Software, Visualization
Version 1.2.0
In Bioconductor since BioC 3.19 (R-4.4) (0.5 years)
License GPL-3
Depends R (>= 4.4)
Imports methods, stats, rlang, pracma, withr, flowCore, reshape2, ggplot2, ggrepel, ggforce, patchwork, transport, smacof, BiocParallel, CytoPipeline
System Requirements
URL https://uclouvain-cbio.github.io/CytoMDS
Bug Reports https://github.com/UCLouvain-CBIO/CytoMDS/issues
See More
Suggests testthat (>= 3.0.0), vdiffr, diffviewer, knitr, rmarkdown, BiocStyle, HDCytoData
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Package Archives

Follow Installation instructions to use this package in your R session.

Source Package CytoMDS_1.2.0.tar.gz
Windows Binary (x86_64) CytoMDS_1.2.0.zip (64-bit only)
macOS Binary (x86_64) CytoMDS_1.2.0.tgz
macOS Binary (arm64) CytoMDS_1.1.4.tgz
Source Repository git clone https://git.bioconductor.org/packages/CytoMDS
Source Repository (Developer Access) git clone git@git.bioconductor.org:packages/CytoMDS
Bioc Package Browser https://code.bioconductor.org/browse/CytoMDS/
Package Short Url https://bioconductor.org/packages/CytoMDS/
Package Downloads Report Download Stats