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flowStats (version 3.30.0)
Statistical methods for the analysis of flow cytometry data
Description
Methods and functionality to analyse flow data that is beyond the basic infrastructure provided by the flowCore package.
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Version
3.30.0
3.28.0
3.26.1
3.24.8
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Version
3.30.0
License
Artistic-2.0
Maintainer
Greg Finak
Last Published
January 1st, 1970
Functions in flowStats (3.30.0)
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gpaSet
Multi-dimensional normalization of flow cytometry data
autoGate
Automated gating of single populations in 2D
idFeaturesByBackgating
(Internal use only) Identify features of flow cytometry data using backgating
curvPeaks
Parse curv1Filter output
normQA
Normalization quality assessment
plotBins
Plots the probability bins overlaid with flowFrame data
iProcrustes
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.
curv1Filter-class
Class "curv1Filter"
landmarkMatrix
Compute and cluster high density regions in 1D
rangeGate
Find most likely separation between positive and negative populations in 1D
quadrantGate
Automated quad gating
normalize-methods
normalize a GatingSet imported with flowWorkspace, using sequential normalization on the manual gates in the GatingHierarchy.
singletGate
Creates a singlet polygon gate using the prediction bands from a robust linear model
proBin
Probability binning - a metric for evaluating multivariate differences
calcPBChiSquare
Probability binning metirc for comparing the probability binned datasets
flowStats-package
Statistical methods for flow cytometry data analysis
lymphFilter-class
Automated gating of elliptical cell populations in 2D.
density1d
Find most likely separation between positive and negative populations in 1D
ITN
Sample flow cytometry data
curv2Filter-class
Class "curv2Filter"
binByRef
Bin a test data set using bins previously created by probability binning a control dataset
gaussNorm
Per-channel normalization based on landmark registration
calcPearsonChi
Pearsons chi-square statistic for comparing the probability binned datasets
BackGating
Sample backgating results
warpSet
Normalization based on landmark registration