Knime linear regression with molecular fingerprints and descriptors

Could someone please guide us to a discussion of how to use a linear regression learner that takes into account both molecular fingerprints and descriptors? In addition, we would like to better understand how the learner uses the fingerprints in the regression. THANKS!!


We had that topic here in the forum just a few days ago:

Maybe that discussion already answers some of your questions. Please let me know if there should be any questions left :slight_smile:



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