From Biomarker Anchors to Disease-State Transitions: A Biologically Anchored Probabilistic Principal Component Analysis Framework for Alzheimer's Disease Progression Modeling.
INTRODUCTION To develop and validate a biomarker-anchored probabilistic principal component analysis (PPCA) framework for identifying biologically interpretable latent dimensions of Alzheimer's disease (AD) and evaluating their utility for disease progression modeling. METHODS Data from 1058 participants that are amy...