Filtering of features — filtering • margheRita

Filtering of features by missing values, m/z values and imputation of missing values

filtering(
  mRList = NULL,
  seed = NULL,
  a = 0.1,
  b = 0.25,
  lower_quality_mass_acc = 0.4,
  upper_quality_mass_acc = 0.8,
  min_metab_in_sample = 100,
  min_sample_with_metab = 3,
  na_value = "NA",
  dirout = NULL
)

Arguments

mRList: mRList object
seed: set this seed with set.seed
a: minimum increase factor
b: maxmimum increase factor
lower_quality_mass_acc: lower quality value
upper_quality_mass_acc: upper quality value
min_metab_in_sample: min number of metabolites in a sample
min_sample_with_metab: min number of samples in which a metabolite must appear
na_value: value that indicate missing values
dirout: output directory

Value

filtered mRList object