Serum proteomic profiling of carotid arteriopathy: A population outcome study

Circulating proteins reflecting subclinical vascular disease may improve prediction of atherosclerotic cardiovascular disease (ASCVD). We applied feature selection and unsupervised clustering on proteomic data to identify proteins associated with carotid arteriopathy and construct a protein-based cl...

Ausführliche Beschreibung

Bibliographische Detailangaben

Veröffentlicht in:	Atherosclerosis 2023-11, Vol.385, p.117331-117331, Article 117331
Hauptverfasser:	Cauwenberghs, Nicholas, Verheyen, Astrid, Sabovčik, František, Ntalianis, Evangelos, Vanassche, Thomas, Brguljan, Jana, Kuznetsova, Tatiana
Format:	Artikel
Sprache:	eng
Schlagworte:	Arteriopathy Carotid intima-media thickness Carotid ultrasonography Proteomics Unsupervised machine learning
Online-Zugang:	Volltext
Tags:	Tag hinzufügen Keine Tags, Fügen Sie den ersten Tag hinzu!