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prune-hierarchy could take sample metadata and feature data as inputs and prune trees based on the prevalence of features in the various categories of a metadata column. Alternatively, pruning could be done independent of sample metadata based on the top x% most abundant features across the dataset.
The text was updated successfully, but these errors were encountered:
prune-hierarchy
could take sample metadata and feature data as inputs and prune trees based on the prevalence of features in the various categories of a metadata column. Alternatively, pruning could be done independent of sample metadata based on the top x% most abundant features across the dataset.The text was updated successfully, but these errors were encountered: