flowCutData: A list containing two GvHD flow frames from flowCore

In jmeskas/flowCut: Automated Removal of Outlier Events and Flagging of Files Based on Time Versus Fluorescence Analysis

A list containing two GvHD flow frames from flowCore

Description

We are taking two flowFrames from flowCore's GvHD dataset and two flowFrames from FlowRespository, an open source cytometry data repository. The first two flowFrames are GvHD flowFrame objects 's9a06' and 's5a07'. The third flowFrame is from FlowRespository's FR-FCM-ZZ7E 'Macrophages + oATP.fcs', and the fourth is from FlowRespository's 'FR-FCM-ZZVB Specimen_001_B6 LSK.fcs'. We used the estimateLogical transformation on the data. We then processed the data with flowCut in the examples.

Usage

data(flowCutData)

Author(s)

Maintainer: Justin Meskas [e-mail], Sherrie Wang [e-mail]

Examples

data(flowCutData)
res_flowCut <- flowCut(flowCutData[[1]], Plot="All")
# See plot in working directory/flowCut

# Here is an example with decreasing the MaxValleyHgt parameter, which causes a flag.
res_flowCut <- flowCut(flowCutData[[2]], MaxValleyHgt = 0.01, Verbose = TRUE, AllowFlaggedRerun = FALSE, Plot="All")
res_flowCut$data

# Compare with:
res_flowCut <- flowCut(flowCutData[[2]], Verbose = TRUE, AllowFlaggedRerun = FALSE, Plot="All")

# Here is an example with decreasing the MaxPercCut parameter, which causes a flag.
res_flowCut <- flowCut(flowCutData[[3]], MaxPercCut = 0.15, AllowFlaggedRerun = FALSE, Verbose = TRUE)
res_flowCut$data

# Compare with:
res_flowCut <- flowCut(flowCutData[[3]], Verbose = TRUE, Plot="All")

# Here is an example using AllowFlaggedRerun and UseOnlyWorstChannels
res_flowCut <- flowCut(flowCutData[[4]], AllowFlaggedRerun = TRUE,
                    UseOnlyWorstChannels = TRUE, Plot="All")
res_flowCut$data

# Alternative plotting option 1
res_flowCut <- flowCut(flowCutData[[1]])
library(flowDensity)
plotDens(flowCutData[[1]], c("Time","FL1-H"))
points(exprs(flowCutData[[1]])[res_flowCut$ind, c("Time","FL1-H")], pch=".")

# Alternative plotting option 2
res_flowCut <- flowCut(flowCutData[[1]], Plot="All", PrintToConsole=TRUE)

jmeskas/flowCut documentation built on March 31, 2022, 11:04 a.m.