Use of raw or log-normalised counts in decoupler-py mt.ulm

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Hi,

I’m trying to run the latest version of DecoupleR-py (v2.0.1) now implemented into the scverse.

I followed the old tutorials of DecoupleR-py before and seem to remember them using the raw counts of an adata to perform the enrichment analyses such as with mt.ulm for example. However now in the new tutorial docs, the enrichment analyses are run on the log-normalized counts of an example adata. Yet I see that the ‘use_raw’ argument is still an option in the functions.

I was just wondering whether you would recommend running enrichment analyses in DecoupleR on raw or normalized counts?

Thanks for the awesome tool!

Cheers

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