Statistical and machine learning methods for analysis of multiplex protein data from a novel proximity extension assay in patients with ST-elevation myocardial infarction
Abstract Using data from patients with ST-elevation myocardial infarction (STEMI), we explored how machine learning methods can be used for analysing multiplex protein data obtained from proximity extension assays. Blood samples were obtained from 48 STEMI-patients at admission and after three month...
Main Authors: | Emil Maag, Archana Kulasingam, Erik Lerkevang Grove, Kamilla Sofie Pedersen, Steen Dalby Kristensen, Anne-Mette Hvas |
---|---|
Format: | Article |
Language: | English |
Published: |
Nature Publishing Group
2021-07-01
|
Series: | Scientific Reports |
Online Access: | https://doi.org/10.1038/s41598-021-93162-3 |
Similar Items
-
Platelet turnover in stable coronary artery disease - influence of thrombopoietin and low-grade inflammation.
by: Sanne Bøjet Larsen, et al.
Published: (2014-01-01) -
Lower Antiplatelet Effect of Aspirin in Essential Thrombocythemia than in Coronary Artery Disease
by: Oliver Buchhave Pedersen, et al.
Published: (2021-07-01) -
Calprotectin and platelet aggregation in patients with stable coronary artery disease.
by: Sanne Bøjet Larsen, et al.
Published: (2015-01-01) -
Genetic determinants of on-aspirin platelet reactivity: focus on the influence of PEAR1.
by: Morten Würtz, et al.
Published: (2014-01-01) -
Determinants of reduced antiplatelet effect of aspirin in patients with stable coronary artery disease.
by: Sanne Bøjet Larsen, et al.
Published: (2015-01-01)