Package: MDSvis 1.1.0

Philippe Hauchamps

MDSvis: Plots of Multi Dimensional Scaling (MDS) results

This package implements visulization of Multi Dimensional Scaling (MDS) results.

Authors:Andrea Vicini [aut], Philippe Hauchamps [aut, cre], Shabnam Zaman [ctb], Laurent Gatto [aut]

MDSvis_1.1.0.tar.gz
MDSvis_1.1.0.zip(r-4.7)MDSvis_1.1.0.zip(r-4.6)MDSvis_1.1.0.zip(r-4.5)
MDSvis_1.1.0.tgz(r-4.6-any)MDSvis_1.1.0.tgz(r-4.5-any)
MDSvis_1.1.0.tar.gz(r-4.7-any)MDSvis_1.1.0.tar.gz(r-4.6-any)
MDSvis_1.1.0.tgz(r-4.6-emscripten)
manual.pdf |manual.html✨
DESCRIPTION |NEWS
card.svg |card.png
MDSvis/json (API)

# Install 'MDSvis' in R:
install.packages('MDSvis', repos = c('https://bioc.r-universe.dev', 'https://cloud.r-project.org'))

Bug tracker:https://github.com/uclouvain-cbio/mdsvis/issues

Pkgdown/docs site:https://uclouvain-cbio.github.io

On BioConductor:MDSvis-1.1.0(bioc 3.24)MDSvis-1.0.0(bioc 3.23)

flowcytometryqualitycontroldimensionreductionmultidimensionalscalingsoftwarevisualizationbioconductormdsshinyvisualisation

5.26 score 5 scripts 1 exports 196 dependencies

Last updated from:cd89dfa348. Checks:1 NOTE, 9 OK. Indexed: yes.

TargetResultTimeFilesSyslog
bioc-checksNOTE226
linux-devel-x86_64OK287
source / vignettesOK352
linux-release-x86_64OK365
macos-release-arm64OK213
macos-oldrel-arm64OK171
windows-develOK298
windows-releaseOK278
windows-oldrelOK300
wasm-releaseOK249

Exports:mdsvis_app

Dependencies:abindaskpassbackportsbase64encBHBiobaseBiocFileCacheBiocGenericsbiocmakeBiocParallelbitbit64blobbootbroombslibcachemchangepointcheckmatecirclizeclassclicliprclueclustercodetoolscolorspacecommonmarkComplexHeatmapcpp11crayoncrosstalkcurlcytolibCytoMDSCytoPipelinedata.tableDBIdbplyrDelayedArraydiagramdigestdir.expirydoParalleldplyre1071ellipseevaluatefarverfastmapfilelockflowAIflowCoreflowWorkspacefontawesomeforcatsforeachforeignformatRFormulafsfutile.loggerfutile.optionsgdatagenericsGetoptLongggcytoggforceggplot2ggrepelglmnetGlobalOptionsgluegraphgridExtragtablegtoolshavenhexbinhighrHmischmshtmlTablehtmltoolshtmlwidgetshttpuvhttrhttr2IRangesisobanditeratorsjomojquerylibjsonliteknitrlabelinglambda.rlaterlatticelazyevallifecyclelme4magrittrMASSMatrixMatrixGenericsmatrixStatsmemoisemicemimeminqamitmlncdfFlownlmenloptrnnetnnlsnumDerivopensslordinalotelpanpatchworkPeacoQCpillarpkgconfigplotlyplotrixplyrpngpolyclippolynompracmaprettyunitsprogresspromisesproxypurrrR6rappdirsRBGLrbibutilsRColorBrewerRcppRcppEigenRdpackreadrreformulasreshape2RgraphvizRhdf5librjsonrlangrmarkdownrpartRProtoBufLibRSQLiterstudioapiS4ArraysS4VectorsS7sassscalesshapeshinyshinyjssmacofsnowsourcetoolsSparseArraystringistringrsurvivalsyssystemfontstibbletidyrtidyselecttinytextransporttweenrtzdbucminfutf8vctrsviridisLitevroomweightswithrwordcloudxfunXMLxtableXVectoryamlzoo

Preparing MDSvis input objects from a distance matrix and sample properties
Introduction | Installation and loading dependencies | Dataset | Generation of input files for the Shiny application | Visualization of the MDS projection | fsap dataset methods | Data mining and assembly of a reference dataset | Pairwise alignments using primary structure and hydrophobicity | Physicochemical parameters distinguishing FSAP | Acknowledgement | Session information | References
Rendered fromMDSvis_Input_From_Distance.Rmdusingknitr::rmarkdown

Last update: 2025-12-09
Started: 2025-05-14

Visualization of Multi Dimensional Scaling (MDS) objects
Installation and loading dependencies | Introduction | Illustrative dataset | Generation of input files | Visualization of the MDS projection | General settings | Session information | References
Rendered fromMDSvis.Rmdusingknitr::rmarkdown

Last update: 2025-12-09
Started: 2025-02-21