CytoMDS
This is the development version of CytoMDS; to use it, please install the devel version of Bioconductor.
Low Dimensions projection of cytometry samples
Bioconductor version: Development (3.19)
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("CytoMDS")):
Installation
To install this package, start R (version "4.4") 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.
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 | ||
| NEWS | Text | |
| LICENSE | Text |
Details
| biocViews | DimensionReduction, FlowCytometry, MultidimensionalScaling, QualityControl, Software, Visualization |
| Version | 0.99.16 |
| In Bioconductor since | BioC 3.19 (R-4.4) |
| License | GPL-3 |
| Depends | R (>= 4.3) |
| 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 |
| 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 | CytoMDS_0.99.16.tar.gz |
| Windows Binary | CytoMDS_0.99.16.zip |
| macOS Binary (x86_64) | CytoMDS_0.99.16.tgz |
| macOS Binary (arm64) | CytoMDS_0.99.16.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 |