Package: flowStats 4.19.0

Greg Finak

flowStats: Statistical methods for the analysis of flow cytometry data

Methods and functionality to analyse flow data that is beyond the basic infrastructure provided by the flowCore package.

Authors:Florian Hahne, Nishant Gopalakrishnan, Alireza Hadj Khodabakhshi, Chao-Jen Wong, Kyongryun Lee

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flowStats.pdf |flowStats.html
flowStats/json (API)
NEWS

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

Peer review:

Bug tracker:https://github.com/rglab/flowstats/issues

Datasets:
  • BackGating - Sample backgating results
  • ITN - Sample flow cytometry data

On BioConductor:flowStats-4.19.0(bioc 3.21)flowStats-4.18.0(bioc 3.20)

immunooncologyflowcytometrycellbasedassays

8.45 score 15 stars 1 packages 191 scripts 974 downloads 19 mentions 31 exports 92 dependencies

Last updated 2 months agofrom:463f04e035. Checks:OK: 1 WARNING: 6. Indexed: yes.

TargetResultDate
Doc / VignettesOKNov 29 2024
R-4.5-winWARNINGNov 29 2024
R-4.5-linuxWARNINGNov 29 2024
R-4.4-winWARNINGNov 29 2024
R-4.4-macWARNINGNov 29 2024
R-4.3-winWARNINGNov 29 2024
R-4.3-macWARNINGNov 29 2024

Exports:%in%binByRefcalcPBChiSquarecalcPearsonChicurv1Filtercurv2FiltercurvPeaksflowClust2Priorgate_singletgaussNormgpaSetiProcrusteslymphGatemkPriornorm2FilternormalizenormQAoneDGateoverton_likeplotBinsplotPriorproBinquadrantGaterangeFilterrangeGateSimulateMixturesingletGatespilloverspillover_matchspillover_ngwarpSet

Dependencies:abindashBHBiobaseBiocGenericsbitopscliclueclustercolorspacecorpcorcpp11crayoncytolibdata.tableDelayedArraydeldirDEoptimRdeSolvedplyrfansifarverfdafdsflowCoreflowVizflowWorkspaceFNNgenericsggplot2gluegraphgtablehdrcdehexbinIDPmiscinterpIRangesisobandjpegkernlabKernSmoothkslabelinglatticelatticeExtralifecyclelocfitmagrittrMASSMatrixMatrixGenericsmatrixStatsmclustmgcvmnormtmulticoolmunsellmvtnormncdfFlownlmepcaPPpillarpkgconfigpngpracmaR6rainbowRBGLRColorBrewerRcppRcppEigenRCurlRgraphvizRhdf5librlangrobustbaseRProtoBufLibrrcovS4ArraysS4VectorsscalesSparseArraytibbletidyselectutf8vctrsviridisLitewithrXMLXVectorzlibbioc

flowStats Overview

Rendered fromGettingStartedWithFlowStats.Rnwusingutils::Sweaveon Nov 29 2024.

Last update: 2019-11-26
Started: 2013-12-24

Readme and manuals

Help Manual

Help pageTopics
Statistical methods for flow cytometry data analysisflowStats-package flowStats
These methods are copied from flowViz to eliminate its dependency on curv1Filter and curv2FilteraddName,curv1Filter,character-method addName,curv1Filter,logical-method addName,curv2Filter,character-method addName,curv2Filter,logical-method
Automated gating of single populations in 2DautoGate
Sample backgating resultsBackGating
Bin a test data set using bins previously created by probability binning a control datasetbinByRef
Probability binning metirc for comparing the probability binned datasetscalcPBChiSquare
Pearsons chi-square statistic for comparing the probability binned datasetscalcPearsonChi
Class "curv1Filter"%in%,flowFrame,curv1Filter-method curv1Filter curv1Filter-class show,curv1Filter-method summarizeFilter,multipleFilterResult,curv1Filter-method
Class "curv2Filter"%in%,flowFrame,curv2Filter-method curv2Filter curv2Filter-class show,curv2Filter-method summarizeFilter,multipleFilterResult,curv2Filter-method
Parse curv1Filter outputcurvPeaks
Find most likely separation between positive and negative populations in 1Ddensity1d
convert ellipse from cov/mu to points used to plot priorsellipse
The version of fdPar from fda 2.4.0 because the new API changes the output. (specifically res$fd$coefs) and thus breaks the landmarkreg call.fdPar
Generate a prior specification based on a flowClust model This function generates a prior specification based on a flowClust fit object It can be passed to a second round of flowClust() with usePrior="yes" The prior could be estimated from a single sample, for example, and then used to speed up the convergence for other samples.flowClust2Prior
Creates a singlet polygon gate using the prediction bands from a robust linear modelgate_singlet singletGate
Per-channel normalization based on landmark registrationgaussNorm
Multi-dimensional normalization of flow cytometry datagpaSet
(Internal use only) Identify features of flow cytometry data using backgatingidFeatures idFeaturesByBackgating
Procrustes analysis. Using singular value decomposition (SVD) to determine a linear transformation to align the points in X to the points in a reference matrix Y.iProcrustes
Sample flow cytometry dataITN
Compute and cluster high density regions in 1DlandmarkMatrix
Automated gating of elliptical cell populations in 2D.%in%,flowFrame,lymphFilter-method lymphFilter lymphFilter-class lymphGate
Generate a flowClust prior specificationmkPrior mkPrior,list,flowSet,ANY,missing-method mkPrior,list,flowSet,missing,missing-method mkPrior,missing,flowFrame,missing,missing-method mkPrior,missing,flowSet,ANY,missing-method mkPrior,polygonGate,flowFrame,missing,missing-method mkPrior,polygonGate,flowFrame,numeric,matrix-method mkPrior,rectangleGate,flowFrame,missing,missing-method mkPrior,rectangleGate,flowFrame,numeric,matrix-method
Class "norm2Filter"%in%,flowFrame,norm2Filter-method norm2Filter norm2Filter-class show,norm2Filter-method
normalize a GatingSet imported with flowWorkspace, using sequential normalization on the manual gates in the GatingHierarchy.normalize normalize,GatingSet,missing-method normalize,GatingSetInternal,missing-method normalize-methods
Normalization quality assessmentnormQA
Overton-like subtraction of densities.overton_like
Plots the probability bins overlaid with flowFrame dataplotBins
Plots a flowClust prior over some data.plotPrior
Probability binning - a metric for evaluating multivariate differencesproBin
Automated quad gatingquadrantGate
Find most likely separation between positive and negative populations in 1D%in%,flowFrame,rangeFilter-method oneDGate rangeFilter rangeFilter-class rangeGate
Random Generation from a t Mixture Model with Box-Cox TransformationSimulateMixture
Construct a 'flowSet' for use with 'spillover' by matching channel names to compensation control filenamesspillover_match spillover_match,flowSet-method spillover_match,missing-method spillover_match-flowSet
Compute a spillover matrix from a 'flowSet', simplified APIspillover_ng spillover_ng,flowSet-method spillover_ng,missing-method spillover_ng-flowSet
Compute a spillover matrix from a flowSetspillover spillover,flowSet-method spillover-flowSet
Normalization based on landmark registrationwarpSet warpSet.cytoset warpSetGS warpSetNCDF warpSetNCDFLowMem