<HashMap><database>biostudies-literature</database><scores/><additional><submitter>Hua D</submitter><funding>National Institute of General Medical Sciences</funding><funding>NIGMS NIH HHS</funding><pagination>11070-11077</pagination><full_dataset_link>https://www.ebi.ac.uk/biostudies/studies/S-EPMC6768561</full_dataset_link><repository>biostudies-literature</repository><omics_type>Unknown</omics_type><volume>91(17)</volume><pubmed_abstract>"The totality is not, as it were, a mere heap, but the whole is something besides the parts."-Aristotle. We built a classifier that uses the totality of the glycomic profile, not restricted to a few glycoforms, to differentiate samples from two different sources. This approach, which relies on using thousands of features, is a radical departure from current strategies, where most of the glycomic profile is ignored in favor of selecting a few features, or even a single feature, meant to capture the differences in sample types. The classifier can be used to differentiate the source of the material; applicable sources may be different species of animals, different protein production methods, or, most importantly, different biological states (disease vs healthy). The classifier can be used on </pubmed_abstract><journal>Analytical chemistry</journal><pubmed_title>The Aristotle Classifier: Using the Whole Glycomic Profile To Indicate a Disease State.</pubmed_title><pmcid>PMC6768561</pmcid><funding_grant_id>R01GM103547</funding_grant_id><funding_grant_id>R01 GM103547</funding_grant_id><funding_grant_id>R35 GM130354</funding_grant_id><funding_grant_id>R35GM130354</funding_grant_id><pubmed_authors>Hua D</pubmed_authors><pubmed_authors>Desaire H</pubmed_authors><pubmed_authors>Go EP</pubmed_authors><pubmed_authors>Patabandige MW</pubmed_authors></additional><is_claimable>false</is_claimable><name>The Aristotle Classifier: Using the Whole Glycomic Profile To Indicate a Disease State.</name><description>"The totality is not, as it were, a mere heap, but the whole is something besides the parts."-Aristotle. We built a classifier that uses the totality of the glycomic profile, not restricted to a few glycoforms, to differentiate samples from two different sources. This approach, which relies on using thousands of features, is a radical departure from current strategies, where most of the glycomic profile is ignored in favor of selecting a few features, or even a single feature, meant to capture the differences in sample types. The classifier can be used to differentiate the source of the material; applicable sources may be different species of animals, different protein production methods, or, most importantly, different biological states (disease vs healthy). The classifier can be used on </description><dates><release>2019-01-01T00:00:00Z</release><publication>2019 Sep</publication><modification>2025-04-22T10:34:11.25Z</modification><creation>2025-04-22T10:34:11.25Z</creation></dates><accession>S-EPMC6768561</accession><cross_references><pubmed>31407893</pubmed><doi>10.1021/acs.analchem.9b01606</doi></cross_references></HashMap>