Package: FlowSOM 2.21.0

Sofie Van Gassen
FlowSOM: Using self-organizing maps for visualization and interpretation of cytometry data
FlowSOM offers visualization options for cytometry data, by using Self-Organizing Map clustering and Minimal Spanning Trees.
Authors:
FlowSOM_2.21.0.tar.gz
FlowSOM_2.21.0.zip(r-4.7-x86_64)FlowSOM_2.21.0.zip(r-4.6-x86_64)FlowSOM_2.21.0.zip(r-4.5-x86_64)
FlowSOM_2.21.0.tgz(r-4.6-x86_64)FlowSOM_2.21.0.tgz(r-4.6-arm64)FlowSOM_2.21.0.tgz(r-4.5-x86_64)FlowSOM_2.21.0.tgz(r-4.5-arm64)
FlowSOM_2.21.0.tar.gz(r-4.7-arm64)FlowSOM_2.21.0.tar.gz(r-4.7-x86_64)FlowSOM_2.21.0.tar.gz(r-4.6-arm64)FlowSOM_2.21.0.tar.gz(r-4.6-x86_64)
FlowSOM_2.21.0.tgz(r-4.6-emscripten)
manual.pdf |manual.html✨
DESCRIPTION |NEWS
card.svg |card.png
FlowSOM/json (API)
| # Install 'FlowSOM' in R: |
| install.packages('FlowSOM', repos = c('https://bioc.r-universe.dev', 'https://cloud.r-project.org')) |
On BioConductor:FlowSOM-2.21.0(bioc 3.24)FlowSOM-2.20.0(bioc 3.23)
This package does not link to any Github/Gitlab/R-forge repository. No issue tracker or development information is available.
cellbiologyflowcytometryclusteringvisualizationsoftwarecellbasedassays
Last updated from:597547177b. Checks:1 WARNING, 13 OK. Indexed: yes.
| Target | Result | Time | Files | Syslog |
|---|---|---|---|---|
| bioc-checks | WARNING | 198 | ||
| linux-devel-arm64 | OK | 488 | ||
| linux-devel-x86_64 | OK | 585 | ||
| source / vignettes | OK | 347 | ||
| linux-release-arm64 | OK | 465 | ||
| linux-release-x86_64 | OK | 520 | ||
| macos-release-arm64 | OK | 362 | ||
| macos-release-x86_64 | OK | 603 | ||
| macos-oldrel-arm64 | OK | 313 | ||
| macos-oldrel-x86_64 | OK | 638 | ||
| windows-devel-x86_64 | OK | 524 | ||
| windows-release-x86_64 | OK | 530 | ||
| windows-oldrel-x86_64 | OK | 546 | ||
| wasm-release | OK | 180 |
Exports:%>%AddAnnotationAddBackgroundAddLabelsAddMSTAddNodesAddPiesAddStarsAddStarsPiesAggregateFlowFramesBuildMSTBuildSOMCountGroupsFlowSOMFlowSOM_colorsFlowSOMmaryFlowSOMSubsetFMeasureget_channelsget_markersGetChannelsGetClusterCVsGetClusterMFIsGetClusterPercentagesPositiveGetClustersGetCountsGetCVsGetFeaturesGetFlowJoLabelsGetMajorityLabelsGetMarkersGetMetaclusterCVsGetMetaclusterMFIsGetMetaclusterPercentagesPositiveGetMetaclustersGetMFIsGetPercentagesGroupStatsInitialize_KWSPInitialize_PCAManualVectorMetaclusterCVsMetaClusteringmetaClustering_consensusMetaclusterMFIsNClustersNewDataNMetaclustersParseNodeSizePlot1DScattersPlot2DScattersPlotCentersPlotClusters2DPlotDimRedPlotFileScattersPlotFlowSOMPlotGroupsPlotLabelsPlotManualBarsPlotMarkerPlotMFIHeatmapPlotNodePlotNumbersPlotOutliersPlotOverview2DPlotPiesPlotSDPlotStarLegendPlotStarsPlotVariablePurityquery_multipleQueryMultipleQueryStarPlotReadInputSaveClustersToFCSSOMTestOutliersUpdateFlowSOMUpdateMetaclustersUpdateNodeSize
Dependencies:abindALLbackportsbase64encBHBiobaseBiocGenericsbiocmakebootbroomcarcarDatacliclustercolorRampscolorspaceConsensusClusterPluscorrplotcowplotcpp11cytolibDerivdir.expirydoBydplyrfarverfilelockflowCoreforecastFormulafracdiffgenericsggforceggnewscaleggplot2ggpubrggrepelggsciggsignifgluegridExtragtableigraphisobandjsonlitelabelinglatticelifecyclelme4lmtestmagrittrMASSMatrixMatrixModelsmatrixStatsmgcvminqamodelrnlmenloptrnnetnumDerivpbkrtestpillarpkgconfigpolyclippolynompurrrquantregR6rbibutilsRColorBrewerRcppRcppArmadilloRcppEigenRdpackreformulasRhdf5librlangRProtoBufLibrstatixRtsneS4VectorsS7scalesSparseMstringistringrsurvivalsystemfontstibbletidyrtidyselecttimeDatetweenrurcautf8vctrsviridisLitewithrXMLzoo