This is the development version of CytoMDS; for the stable release version, see CytoMDS.
Low Dimensions projection of cytometry samplesBioconductor version: Development (3.22)
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] ORCID: 0000-0003-2865-1852 , Laurent Gatto [aut] ORCID: 0000-0002-1520-2268 , Dan Lin [ctb]
Maintainer: Philippe Hauchamps <philippe.hauchamps at uclouvain.be>
Citation (from within R, entercitation("CytoMDS")): Installation
To install this package, start R (version "4.5") and enter:
if (!require("BiocManager", quietly = TRUE))
install.packages("BiocManager")
# The following initializes usage of Bioc devel
BiocManager::install(version='devel')
BiocManager::install("CytoMDS")
For older versions of R, please refer to the appropriate Bioconductor release.
DocumentationTo view documentation for the version of this package installed in your system, start R and enter:
browseVignettes("CytoMDS")Follow Installation instructions to use this package in your R session.
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