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Machine Learning Identifies Key Proteins in Primary Sclerosing Cholangitis Progression and Links Hig...

Machine Learning Identifies Key Proteins in Primary Sclerosing Cholangitis Progression and Links Hig...

https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_pubmedcentral_primary_oai_pubmedcentral_nih_gov_11173115

Machine Learning Identifies Key Proteins in Primary Sclerosing Cholangitis Progression and Links High CCL24 to Cirrhosis

About this item

Full title

Machine Learning Identifies Key Proteins in Primary Sclerosing Cholangitis Progression and Links High CCL24 to Cirrhosis

Publisher

Switzerland: MDPI AG

Journal title

International journal of molecular sciences, 2024-06, Vol.25 (11), p.6042

Language

English

Formats

Publication information

Publisher

Switzerland: MDPI AG

More information

Scope and Contents

Contents

Primary sclerosing cholangitis (PSC) is a rare, progressive disease, characterized by inflammation and fibrosis of the bile ducts, lacking reliable prognostic biomarkers for disease activity. Machine learning applied to broad proteomic profiling of sera allowed for the discovery of markers of disease presence, severity, and cirrhosis and the explor...

Alternative Titles

Full title

Machine Learning Identifies Key Proteins in Primary Sclerosing Cholangitis Progression and Links High CCL24 to Cirrhosis

Identifiers

Primary Identifiers

Record Identifier

TN_cdi_pubmedcentral_primary_oai_pubmedcentral_nih_gov_11173115

Permalink

https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_pubmedcentral_primary_oai_pubmedcentral_nih_gov_11173115

Other Identifiers

ISSN

1422-0067,1661-6596

E-ISSN

1422-0067

DOI

10.3390/ijms25116042

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