1. Combining machine learning algorithms and single-cell data to ...29 jan 2024 · Abstract. Extracting valuable insights from high-throughput biological data of Alzheimer's disease to enhance understanding of its ...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-value of less than 0.05 and an absolute log fold change (|logFC|) greater than 1. Our methodology involved utilizing machine learning algorithms, efficiently identified characteristic genes. This was followed by an in-depth immune cell infiltration analysis of these genes, gene set enrichment analysis (GSEA) to elucidate differential pathways, and exploration of re...
