Extract selected features — get_selected

Extracts selected features from the output of an integration method. Only features with a non-null weight for at least one latent dimension will be returned. If a MultiDataSet object is supplied, information about the features from the features metadata will be added to the resulting table.

Usage

get_selected_features(
  method_output,
  latent_dimensions = NULL,
  datasets = NULL,
  mo_data = NULL
)

Arguments

method_output: Integration method output generated via the get_output() function.
latent_dimensions: Character vector of latent dimensions name. Default value is NULL (top contributing features will be returned for all latent dimensions).
datasets: Character vector of datasets name. Default value is NULL (top contributing features will be returned for all datasets).
mo_data: A MultiDataSet::MultiDataSet object.

Value

A tibble containing one row per feature and latent dimension, giving the weight and importance score of the feature for the corresponding latent dimension. If mo_data is supplied, information about the features from the features metadata will be added to the resulting table.