compare with featureset_id
of the current measurementSet
and update the feature stored in reference_object
if there has been a change in featureset_id
register new features (if any)
return reference_object
For DEBUG only update feature and feature synonym in reference object assign feature ids
assume that new features have been registered by this time assign dataset_id and measurementset_id
print_level()
DataLoader$print_level()
assign_biosample_ids()
DataLoader$assign_biosample_ids()
download_features_for_featureset()
DataLoader$download_features_for_featureset()
register_new_features()
DataLoader$register_new_features()
retrieve_features()
DataLoader$retrieve_features()
retrieve_feature_synonyms()
DataLoader$retrieve_feature_synonyms()
update_reference_object()
DataLoader$update_reference_object()
assign_feature_ids()
DataLoader$assign_feature_ids()
assign_other_ids()
DataLoader$assign_other_ids()
load_data()
DataLoader$load_data()
returnReferenceObject()
DataLoader$returnReferenceObject()
new()
DataLoader$new(data_df, reference_object, feature_annotation_df = NULL)
clone()
The objects of this class are cloneable with this method.
DataLoader$clone(deep = FALSE)
deep
Whether to make a deep clone.
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