Mapping Alzheimer's neuropathology signatures to the whole brain transcriptome using machine learning data fusion

Abstract

In Alzheimer's disease (AD), misfolded proteins emerge across the entire brain in structured, yet not rigid, spatiotemporal patterns. Yet, a systematic bias of single-cell genomics toward sampling mostly cortical tissue limits our understanding of the whole-brain transcriptomic vulnerability to AD.

The paper