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

2026-08-24

Abstract excerpt

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 whole brain. By a...

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Identifiers and source

Literature Corpus work
2f6155a0-6d36-5bf1-8673-2827d38ab5d1
DOI
10.64898/2026.08.19.745861
Open publication

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Mapping Alzheimer′s neuropathology signatures to the whole brain transcriptome using machine learning data fusionDOI 10.64898/2026.08.19.745861
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