MDSvis
Plots of Multi Dimensional Scaling (MDS) results
Bioconductor version: 3.23 · Package version: 1.0.0
Other Bioconductor versions
devel is the development version; release is the current stable one.
3.24 (devel), 3.23 (release)
This package implements visulization of Multi Dimensional Scaling (MDS) results.
Installation
if (!require("BiocManager", quietly = TRUE))
install.packages("BiocManager")
BiocManager::install("MDSvis")Details
| Maintainer | Philippe Hauchamps <philippe.hauchamps@uclouvain.be> |
| Author | Andrea Vicini [aut] (ORCID: <https://orcid.org/0000-0001-9438-6909>), Philippe Hauchamps [aut, cre] (ORCID: <https://orcid.org/0000-0003-2865-1852>), Shabnam Zaman [ctb] (ORCID: <https://orcid.org/0000-0001-5399-0130>), Laurent Gatto [aut] (ORCID: <https://orcid.org/0000-0002-1520-2268>) |
| License | GPL-3 |
| URL | https://uclouvain-cbio.github.io/MDSvis |
| Bug Reports | https://github.com/UCLouvain-CBIO/MDSvis/issues |
| Source branch | RELEASE_3_23 |
| Build report | Bioconductor build system, r-universe |
| biocViews | DimensionReduction, FlowCytometry, MultidimensionalScaling, QualityControl, Software, Visualization |
| Package Short Url | https://bioconductor.org/packages/MDSvis/ |
Citation
From within R, enter citation("MDSvis"):
Andrea Vicini, Philippe Hauchamps, Laurent Gatto. MDSvis: Plots of Multi Dimensional Scaling (MDS) results. doi:10.18129/B9.bioc.MDSvis, R package version 1.0.0, https://bioconductor.org/packages/MDSvis.
Generated from the package metadata; it may differ from the package's own citation.
Documentation
- Preparing MDSvis input objects from a distance matrix and sample properties
- Visualization of Multi Dimensional Scaling (MDS) objects
Download
Follow the installation instructions to use this package in your R session.
| Source package | MDSvis_1.0.0.tar.gz |
| Windows binary (x86_64) | MDSvis_1.0.0.zip |
| macOS binary (arm64) | MDSvis_1.0.0.tgz |
| macOS binary (x86_64) | MDSvis_1.0.0.tgz |
Dependencies
Depends: R (>= 4.5)
Imports: CytoMDS (>= 1.3.5), rlang, ggplot2, plotly, shiny, shinyjs, methods
Suggests: knitr, rmarkdown, BiocStyle, HDCytoData, flowCore, testthat (>= 3.0.0)