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Validation of a proteomic biomarker panel to diagnose minor-stroke and transient ischaemic attack: phase 2 of SpecTRA, a large scale translational study.

Andrew M PennMaximilian B BibokViera K SalyShelagh B CouttsMary L LesperanceRobert F BalshawKristine VotovaNicole S CroteauAnurag TrivediAngela M JacksonJanka HegedusEvgenia KlourfeldAmy Ying Xin YuCharlotte ZernaJayesh ModiPhilip A BarberGordon HoagChristoph H Borchersnull null
Published in: Biomarkers : biochemical indicators of exposure, response, and susceptibility to chemicals (2018)
Univariate analyses suggest insulin-like growth factor-binding protein 3 and serum paraoxonase/lactonase 3 are reliable and reproducible biomarkers for TIA status. Logistic regression models indicated L-selectin, apolipoprotein B-100, coagulation factor IX, and thrombospondin-1 to be significant multivariate predictors of TIA. We discuss multivariate feature subset analyses as an exploratory technique to better understand a panel's full predictive potential.
Keyphrases
  • binding protein
  • data analysis
  • atrial fibrillation
  • machine learning
  • cerebral ischemia
  • risk assessment
  • human health
  • density functional theory
  • blood brain barrier