This function compares the pre-gated files with the gated files and adds the label of noise and cells to the events in each file. Then it uses BalancedSample and TrainTest to generate a class-balanced training and test sets. The working directory should be the folder that contains the gated files and the pre-gated files should be one directory up.

post_gate(bsample = 5000, path_pregated = "../")

Arguments

bsample

A numeric vector. Size of the sample from each class for to be passed to BalancedSample function.

path_pregated

A character vector with full path names. Default is the one directory up.