# create a flowFrame and performs biexponential transformation (arcsinh)
toFlowframe_biexp = function(data, biexp = TRUE, dataframe = TRUE){
fcsData <- as.matrix(data)
# create meta data of the markers
metaData <- data.frame(name = colnames(fcsData),
desc = paste('this is column',colnames(fcsData)))
# calculate range of markers
metaData$range <- apply(apply(fcsData,2,range),2,diff)
metaData$minRange <- apply(fcsData,2,min)
metaData$maxRange <- apply(fcsData,2,max)
# create a flowframe
aux <- new("flowFrame", exprs = fcsData, parameters = Biobase::AnnotatedDataFrame(metaData))
if(biexp){
### transform MFI by 'biexponentatial transformation'
biexp <- flowCore::biexponentialTransform("BETransform",
a = 0.5, b = 1, c = 0.5, d = 1, f = 0, w = 0,
tol = .Machine$double.eps^0.25, maxit = as.integer(5000))
aux <- flowCore::transform(aux, flowCore::transformList(colnames(flowCore::exprs(aux)), biexp))
}
if(dataframe){
# fetch transformed expression
aux = as.data.frame(flowCore::exprs(aux))
}
return(aux)
}
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