remove doublets from a flowFrame, using CytoPipeline custom algorithm
Source:R/CytoProcessingStepImplementations.R
removeDoubletsCytoPipeline.Rd
Wrapper around CytoPipeline::singletGate(). Can apply the flowStats function subsequently on several channel pairs, e.g. (FSC-A, FSC-H) and (SSC-A, SSC-H)
Arguments
- ff
a flowCore::flowFrame
- areaChannels
a character vector containing the name of the 'area type' channels one wants to use
- heightChannels
a character vector containing the name of the 'height type' channels one wants to use
- nmads
a numeric vector with the bandwidth above the ratio allowed, per channels pair (cells are kept if the ratio between -A channel[i] and -H channel[i] is smaller than the median ratio + nmad[i] times the median absolute deviation of the ratios). Default is 4, for all channel pairs.
- ...
additional parameters passed to CytoPipeline::singletGate()
Examples
rawDataDir <-
system.file("extdata", package = "CytoPipeline")
sampleFiles <-
file.path(rawDataDir, list.files(rawDataDir, pattern = "Donor"))
truncateMaxRange <- FALSE
minLimit <- NULL
# create flowCore::flowSet with all samples of a dataset
fsRaw <- readSampleFiles(
sampleFiles = sampleFiles,
whichSamples = "all",
truncate_max_range = truncateMaxRange,
min.limit = minLimit)
suppressWarnings(ff_m <- removeMarginsPeacoQC(x = fsRaw[[2]]))
#> Removing margins from file : Donor2.fcs
ff_c <-
compensateFromMatrix(ff_m,
matrixSource = "fcs")
ff_s <-
removeDoubletsCytoPipeline(ff_c,
areaChannels = c("FSC-A", "SSC-A"),
heightChannels = c("FSC-H", "SSC-H"),
nmads = c(3, 5))