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Uncovering glycolysis-driven molecular subtypes in diabetic nephropathy: a WGCNA and machine learnin...

Uncovering glycolysis-driven molecular subtypes in diabetic nephropathy: a WGCNA and machine learnin...

https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_doaj_primary_oai_doaj_org_article_35ae1367ed91482e8dec72c99a76afd5

Uncovering glycolysis-driven molecular subtypes in diabetic nephropathy: a WGCNA and machine learning approach for diagnostic precision

About this item

Full title

Uncovering glycolysis-driven molecular subtypes in diabetic nephropathy: a WGCNA and machine learning approach for diagnostic precision

Publisher

England: BioMed Central Ltd

Journal title

Biology direct, 2025-01, Vol.20 (1), p.10-16, Article 10

Language

English

Formats

Publication information

Publisher

England: BioMed Central Ltd

More information

Scope and Contents

Contents

Diabetic nephropathy (DN) is a common diabetes-related complication with unclear underlying pathological mechanisms. Although recent studies have linked glycolysis to various pathological states, its role in DN remains largely underexplored.
In this study, the expression patterns of glycolysis-related genes (GRGs) were first analyzed using the G...

Alternative Titles

Full title

Uncovering glycolysis-driven molecular subtypes in diabetic nephropathy: a WGCNA and machine learning approach for diagnostic precision

Identifiers

Primary Identifiers

Record Identifier

TN_cdi_doaj_primary_oai_doaj_org_article_35ae1367ed91482e8dec72c99a76afd5

Permalink

https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_doaj_primary_oai_doaj_org_article_35ae1367ed91482e8dec72c99a76afd5

Other Identifiers

ISSN

1745-6150

E-ISSN

1745-6150

DOI

10.1186/s13062-025-00601-6

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