Article

scAGG: Sample-level embedding and classification of Alzheimer’s disease from single-nucleus data

2025-01-30

Abstract excerpt

Identifying key cell types and genes in Alzheimer’s Disease (AD) is crucial for understanding its pathogenesis and discovering therapeutic targets. Single-cell RNA sequencing technology (scRNAseq) has provided unprecedented opportunities to study the molecular mechanisms that underlie AD at the cellular level. In this study, we address the problem of sample-level classification of AD using scRNAseq data, where we...

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Literature Corpus work: 9d724d4d-9f61-5a6c-ac9f-b451c7e93573
DOI: 10.1101/2025.01.28.635240

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