Package: CytoMDS 1.3.3

Philippe Hauchamps

CytoMDS: Low Dimensions projection of cytometry samples

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.

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

CytoMDS_1.3.3.tar.gz
CytoMDS_1.3.3.zip(r-4.5)CytoMDS_1.3.3.zip(r-4.4)CytoMDS_1.1.3.zip(r-4.3)
CytoMDS_1.3.3.tgz(r-4.4-any)CytoMDS_1.1.3.tgz(r-4.3-any)
CytoMDS_1.3.3.tar.gz(r-4.5-noble)CytoMDS_1.3.3.tar.gz(r-4.4-noble)
CytoMDS_1.3.3.tgz(r-4.4-emscripten)CytoMDS_1.1.3.tgz(r-4.3-emscripten)
CytoMDS.pdf |CytoMDS.html
CytoMDS/json (API)
NEWS

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

Peer review:

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

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

On BioConductor:CytoMDS-1.3.2(bioc 3.21)CytoMDS-1.2.0(bioc 3.20)

flowcytometryqualitycontroldimensionreductionmultidimensionalscalingsoftwarevisualization

5.43 score 1 stars 2 scripts 132 downloads 28 exports 182 dependencies

Last updated 18 hours agofrom:7214442f21. Checks:OK: 1 NOTE: 6. Indexed: yes.

TargetResultDate
Doc / VignettesOKDec 10 2024
R-4.5-winNOTEDec 10 2024
R-4.5-linuxNOTEDec 10 2024
R-4.4-winNOTEDec 10 2024
R-4.4-macNOTEDec 10 2024
R-4.3-winNOTESep 24 2024
R-4.3-macNOTESep 24 2024

Exports:as.matrixchannelSummaryStatscomputeMetricMDSdistByFeatureDistSumeigenValsEMDDistfeatureNamesfeatureNames<-ggplotDistFeatureImportanceggplotMarginalDensitiesggplotSampleMDSggplotSampleMDSShepardggplotSampleMDSWrapBiplotsGoFnDimnFeaturesnPointspairwiseEMDDistpctvarprojDistprojectionspwDistRSqRSqVecsmacofRessppstress

Dependencies:abindaskpassbackportsbase64encBHBiobaseBiocFileCacheBiocGenericsBiocParallelbitbit64blobbootbroombslibcachemchangepointcheckmatecirclizeclassclicliprclueclustercodetoolscolorspaceComplexHeatmapcpp11crayoncurlcytolibCytoPipelinedata.tableDBIdbplyrDelayedArraydiagramdigestdoParalleldplyre1071ellipseevaluatefansifarverfastmapfilelockflowAIflowCoreflowWorkspacefontawesomeforcatsforeachforeignformatRFormulafsfutile.loggerfutile.optionsgdatagenericsGetoptLongggcytoggforceggplot2ggrepelglmnetGlobalOptionsgluegraphgridExtragtablegtoolshavenhexbinhighrHmischmshtmlTablehtmltoolshtmlwidgetshttrIRangesisobanditeratorsjomojquerylibjsonliteknitrlabelinglambda.rlatticelifecyclelme4magrittrMASSMatrixMatrixGenericsmatrixStatsmemoisemgcvmicemimeminqamitmlmunsellncdfFlownlmenloptrnnetnnlsnumDerivopensslordinalpanpatchworkPeacoQCpillarpkgconfigplogrplotrixplyrpngpolyclippolynompracmaprettyunitsprogressproxypurrrR6rappdirsRBGLRColorBrewerRcppRcppEigenreadrreshape2RgraphvizRhdf5librjsonrlangrmarkdownrpartRProtoBufLibRSQLiterstudioapiS4ArraysS4VectorssassscalesshapesmacofsnowSparseArraystringistringrsurvivalsyssystemfontstibbletidyrtidyselecttinytextransporttweenrtzdbucminfutf8vctrsviridisviridisLitevroomweightswithrwordcloudxfunXMLXVectoryamlzlibbioczoo

Low Dimensional Projection of Cytometry Samples

Rendered fromCytoMDS.Rmdusingknitr::rmarkdownon Dec 10 2024.

Last update: 2024-12-09
Started: 2023-09-11

Readme and manuals

Help Manual

Help pageTopics
Summary statistics per channel computationchannelSummaryStats
metric MDS projection of samplecomputeMetricMDS
DistSum classas.matrix,DistSum-method colnames,DistSum-method colnames<-,DistSum-method dim,DistSum-method dimnames,DistSum-method dimnames<-,DistSum,ANY-method dimnames<-,DistSum,list-method distByFeature DistSum DistSum,list-method DistSum,matrix-method DistSum-class featureNames,DistSum-method featureNames<-,DistSum-method ncol,DistSum-method nFeatures nrow,DistSum-method rownames,DistSum-method rownames<-,DistSum-method show,DistSum-method [,DistSum,ANY,ANY,ANY-method [,DistSum,ANY,ANY,missing-method [,DistSum,ANY,missing,ANY-method [,DistSum,ANY,missing,missing-method
Calculate Earth Mover's distance between two samplesEMDDist
Plot of feature relative importance in distanceggplotDistFeatureImportance
Plot of channel intensity marginal densitiesggplotMarginalDensities
Plot of Metric MDS objectggplotSampleMDS
Plot of Metric MDS object - Shepard diagramggplotSampleMDSShepard
SampleMDS biplot wrappingggplotSampleMDSWrapBiplots
MDS classeigenVals GoF MDS-class nDim nPoints pctvar projDist projections pwDist RSq RSqVec show,MDS-method smacofRes spp stress
Pairwise Earth Mover's Distance calculationpairwiseEMDDist