select significant features

The output of this function can be passed in the features argument of the h_map function

select_sign_features(
  mRList = NULL,
  test_method = "anova",
  test_value = "q",
  cutoff_value = 0.05,
  feature_id = "Feature_ID",
  values = FALSE,
  split_by_semicolon = FALSE
)

Arguments

mRList

mRList object

test_method

the name of the statistical test table contained in the mRlist object

test_value

the column of the statistical test table to consider (e.g.: p or q)

cutoff_value

the value of p-value cut-off to consider a feature as significant

feature_id

"Feature_ID" or "Name" from the mRList$data_ann

values

if TRUE a named vector with test_value values will be given in output; the beast value will be considered in case of 1-to-n mappings

split_by_semicolon

if TRUE, the names will be split by semicolons.

Value

a character vector with features names