Article

Combining machine learning algorithms and single-cell data to study the pathogenesis of Alzheimer’s disease

2024-01-29

Abstract excerpt

Extracting valuable insights from high-throughput biological data of Alzheimer’s disease to enhance understanding of its pathogenesis is becoming increasingly important. We engaged in a comprehensive collection and assessment of Alzheimer’s microarray datasets GSE5281 and GSE122063 and single-cell data from GSE157827 from the NCBI GEO database. The datasets were selected based on stringent screening criteria: a P-...

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Literature Corpus work: d20a16bc-d89f-5347-b26e-059573141a50
DOI: 10.1101/2024.01.26.577320

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