Package: flowDensity 1.39.0
flowDensity: Sequential Flow Cytometry Data Gating
This package provides tools for automated sequential gating analogous to the manual gating strategy based on the density of the data.
Authors:
flowDensity_1.39.0.tar.gz
flowDensity_1.39.0.zip(r-4.5)flowDensity_1.39.0.zip(r-4.4)flowDensity_1.39.0.zip(r-4.3)
flowDensity_1.39.0.tgz(r-4.4-any)flowDensity_1.39.0.tgz(r-4.3-any)
flowDensity_1.39.0.tar.gz(r-4.5-noble)flowDensity_1.39.0.tar.gz(r-4.4-noble)
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flowDensity.pdf |flowDensity.html✨
flowDensity/json (API)
NEWS
# Install 'flowDensity' in R: |
install.packages('flowDensity', repos = c('https://bioc.r-universe.dev', 'https://cloud.r-project.org')) |
On BioConductor:flowDensity-1.39.0(bioc 3.20)flowDensity-1.38.0(bioc 3.19)
This package does not link to any Github/Gitlab/R-forge repository. No issue tracker or development information is available.
Last updated 2 months agofrom:c1497e8b20
Exports:.trackSlopedeGateflowDensitygetflowFramegetPeaksnmRemovenotSubFrameplotplotDens
Dependencies:abindbackportsBHBiobaseBiocGenericsbitopsbootbroomcarcarDatacaToolsclicolorspacecowplotcpp11cytolibdeldirDerivdoBydplyrfansifarverflowCoreflowVizgenericsggplot2gluegplotsgtablegtoolshexbinIDPmiscinterpisobandjpegKernSmoothlabelinglatticelatticeExtralifecyclelme4magrittrMASSMatrixMatrixModelsmatrixStatsmgcvmicrobenchmarkminqamodelrmunsellnlmenloptrnnetnumDerivpbkrtestpillarpkgconfigpngpolyclippurrrquantregR6RColorBrewerRcppRcppEigenRhdf5librlangRProtoBufLibS4VectorsscalesSparseMstringistringrsurvivaltibbletidyrtidyselectutf8vctrsviridisLitewithr
Readme and manuals
Help Manual
Help page | Topics |
---|---|
Class '"CellPopulation"' | CellPopulation-class getflowFrame,CellPopulation-method plot,flowFrame,CellPopulation-method |
1D density gating method | deGate |
Methods for Function 'flowDensity' in Package 'flowDensity' | flowDensity,CellPopulation,ANY,logical flowDensity,flowFrame,ANY,logical |
'CellPopulation' class accessor. | getflowFrame getflowFrame, CellPopulation-method |
Finding Peaks | getPeaks |
Preprocessing helper function for flow cytometry data | nmRemove |
Removing a subset of a FlowFrame object | notSubFrame |
Plot flow cytometry data with density-based colors | plot, flowFrame, CellPopulation-method plotDens |