Mapping Alzheimer's neuropathology signatures to the whole brain transcriptome using machine learning data fusion
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. Here, we develop a machine learning method to extrapolate local AD neuropathology signatures to the…
We haven't written up this one. bioRxiv has the full story — the link below goes straight to it.
