Predicting Biochemical and Physiological Parameters: Deep Learning from IgG Glycome Composition
Predicting Biochemical and Physiological Parameters: Deep Learning from IgG Glycome Composition
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Switzerland: MDPI AG
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English
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Switzerland: MDPI AG
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In immunoglobulin G (IgG),
-glycosylation plays a pivotal role in structure and function. It is often altered in different diseases, suggesting that it could be a promising health biomarker. Studies indicate that IgG glycosylation not only associates with various diseases but also has predictive capabilities. Additionally, changes in IgG glycosy...
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Predicting Biochemical and Physiological Parameters: Deep Learning from IgG Glycome Composition
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TN_cdi_pubmedcentral_primary_oai_pubmedcentral_nih_gov_11432235
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https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_pubmedcentral_primary_oai_pubmedcentral_nih_gov_11432235
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ISSN
1422-0067,1661-6596
E-ISSN
1422-0067
DOI
10.3390/ijms25189988