Package: FlowSOM 2.15.0
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_2.15.0.tar.gz
FlowSOM_2.15.0.zip(r-4.5)FlowSOM_2.15.0.zip(r-4.4)FlowSOM_2.15.0.zip(r-4.3)
FlowSOM_2.15.0.tgz(r-4.4-x86_64)FlowSOM_2.15.0.tgz(r-4.4-arm64)FlowSOM_2.15.0.tgz(r-4.3-x86_64)FlowSOM_2.15.0.tgz(r-4.3-arm64)
FlowSOM_2.15.0.tar.gz(r-4.5-noble)FlowSOM_2.15.0.tar.gz(r-4.4-noble)
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FlowSOM.pdf |FlowSOM.html✨
FlowSOM/json (API)
NEWS
# Install 'FlowSOM' in R: |
install.packages('FlowSOM', repos = c('https://bioc.r-universe.dev', 'https://cloud.r-project.org')) |
On BioConductor:FlowSOM-2.15.0(bioc 3.21)FlowSOM-2.14.0(bioc 3.20)
This package does not link to any Github/Gitlab/R-forge repository. No issue tracker or development information is available.
cellbiologyflowcytometryclusteringvisualizationsoftwarecellbasedassays
Last updated 2 months agofrom:b617807138. Checks:OK: 2 NOTE: 5 ERROR: 2. Indexed: yes.
Target | Result | Date |
---|---|---|
Doc / Vignettes | OK | Nov 29 2024 |
R-4.5-win-x86_64 | NOTE | Nov 29 2024 |
R-4.5-linux-x86_64 | NOTE | Nov 29 2024 |
R-4.4-win-x86_64 | NOTE | Nov 29 2024 |
R-4.4-mac-x86_64 | NOTE | Nov 29 2024 |
R-4.4-mac-aarch64 | NOTE | Nov 29 2024 |
R-4.3-win-x86_64 | OK | Nov 29 2024 |
R-4.3-mac-x86_64 | ERROR | Oct 30 2024 |
R-4.3-mac-aarch64 | ERROR | Oct 30 2024 |
Exports:%>%AddAnnotationAddBackgroundAddLabelsAddMSTAddNodesAddPiesAddStarsAddStarsPiesAggregateFlowFramesBuildMSTBuildSOMCountGroupsFlowSOMFlowSOM_colorsFlowSOMmaryFlowSOMSubsetFMeasureget_channelsget_markersGetChannelsGetClusterCVsGetClusterMFIsGetClusterPercentagesPositiveGetClustersGetCountsGetCVsGetFeaturesGetFlowJoLabelsGetMarkersGetMetaclusterCVsGetMetaclusterMFIsGetMetaclusterPercentagesPositiveGetMetaclustersGetMFIsGetPercentagesGroupStatsInitialize_KWSPInitialize_PCAManualVectorMetaclusterCVsMetaClusteringmetaClustering_consensusMetaclusterMFIsNClustersNewDataNMetaclustersParseNodeSizePlot2DScattersPlotCentersPlotClusters2DPlotDimRedPlotFileScattersPlotFlowSOMPlotGroupsPlotLabelsPlotManualBarsPlotMarkerPlotNodePlotNumbersPlotOutliersPlotOverview2DPlotPiesPlotSDPlotStarLegendPlotStarsPlotVariablePurityquery_multipleQueryMultipleQueryStarPlotReadInputSaveClustersToFCSSOMTestOutliersUpdateFlowSOMUpdateMetaclustersUpdateNodeSize
Dependencies:abindALLbackportsBHBiobaseBiocGenericsbootbroomcarcarDatacliclustercolorRampscolorspaceConsensusClusterPluscorrplotcowplotcpp11cytolibDerivdoBydplyrfansifarverflowCoreFormulagenericsggforceggnewscaleggplot2ggpubrggrepelggsciggsignifgluegridExtragtableigraphisobandlabelinglatticelifecyclelme4magrittrMASSMatrixMatrixModelsmatrixStatsmgcvmicrobenchmarkminqamodelrmunsellnlmenloptrnnetnumDerivpbkrtestpillarpkgconfigpolyclippolynompurrrquantregR6RColorBrewerRcppRcppEigenRhdf5librlangRProtoBufLibrstatixRtsneS4VectorsscalesSparseMstringistringrsurvivalsystemfontstibbletidyrtidyselecttweenrutf8vctrsviridisLitewithrXML