pre_gate: Preprocess data before debris manual gating
In msenosain/denoisingCTF: CyTOF Data Noise Removal R Package

This function selects a random sample and reads the FCS files, remove zeros and beads and then adds a row ID column and writes a new FCS file. It uses files on current working directory. Files should have same parameters desc/column names.

pre_gate(
  sample_size = 20,
  use.current.model = TRUE,
  model_beads = model_beads,
  alg_bd = "RF"
)

`sample_size`	A numeric vector. Number of samples (files) to be used.
`use.current.model`	Logical. If `FALSE`, an object of class `train` can be passed to the argument `model_beads`. Default is `TRUE`.
`model_beads`	Object of class `train`. Needed if `use.current.model` is `FALSE`.
`alg_bd`	A character vector with the name of the algorithm used to train `model_beads`. It can be 'RF' for Random Forest or 'XGB' for XGBoost.