Remove features with a small number of (non-missing) measurements across runs

Remove features with a small number of (non-missing) measurements across runs

.filterFewMeasurements(
  input,
  min_intensity,
  remove_few,
  feature_columns = NULL
)

Arguments

input	data.table pre-processed by one of the .cleanRaw* functions.
min_intensity	minimum intensity that will be considered non-missing.
remove_few	logical, if TRUE, features that have less than three measurements will be removed. If FALSE, only features with all missing runs will be removed.
features_columns	chr, vector of names of columns that define features.

Value

data.table