<HashMap><database>biostudies-literature</database><scores/><additional><omics_type>Unknown</omics_type><volume>12(1)</volume><submitter>Yerke A</submitter><journal>Microbiome</journal><full_dataset_link>https://www.ebi.ac.uk/biostudies/studies/S-EPMC10913632</full_dataset_link><repository>biostudies-literature</repository><pubmed_title>Proportion-based normalizations outperform compositional data transformations in machine learning applications</pubmed_title><pmcid>PMC10913632</pmcid><pubmed_authors>Fry Brumit D</pubmed_authors><pubmed_authors>Fodor A</pubmed_authors><pubmed_authors>Yerke A</pubmed_authors></additional><is_claimable>false</is_claimable><name>Proportion-based normalizations outperform compositional data transformations in machine learning applications</name><description/><dates><release>2024-01-01T00:00:00Z</release><publication>2024 Jan</publication><modification>2026-06-01T11:22:14.19Z</modification><creation>2026-04-08T11:50:57.572Z</creation></dates><accession>S-EPMC10913632</accession><cross_references/></HashMap>