Multidimensional analysis reveals gene expression, cell interactions, and signaling networks in glioma and Alzheimer’s disease DOI Creative Commons
Meiyi Wang,

Jie Yu,

Dongfang Ge

и другие.

Discover Oncology, Год журнала: 2025, Номер 16(1)

Опубликована: Фев. 19, 2025

This study employs a comprehensive approach using Genome-Wide Association Studies (GWAS), protein–protein interaction networks, gene co-expression and centrality analysis to explore genetic network interactions related glioma Alzheimer's disease. Through detailed of single-cell data, we found that expression patterns are closely cell types states. Principal Component Analysis (PCA) dimensionality reduction techniques like UMAP t-SNE reveal population heterogeneity potential subgroups. research also involved building machine learning models classify assessing their performances, as well model can best each type.. We investigated these networks along with NRG signaling for discern cell–cell communication events. The SPP1 pathway further triage the specific genes mediating interactive role in cells. presented view expression, glioma, which might be crucial piece understand complexity usher new therapeutic strategies across medical divisions.

Язык: Английский

Multidimensional analysis reveals gene expression, cell interactions, and signaling networks in glioma and Alzheimer’s disease DOI Creative Commons
Meiyi Wang,

Jie Yu,

Dongfang Ge

и другие.

Discover Oncology, Год журнала: 2025, Номер 16(1)

Опубликована: Фев. 19, 2025

This study employs a comprehensive approach using Genome-Wide Association Studies (GWAS), protein–protein interaction networks, gene co-expression and centrality analysis to explore genetic network interactions related glioma Alzheimer's disease. Through detailed of single-cell data, we found that expression patterns are closely cell types states. Principal Component Analysis (PCA) dimensionality reduction techniques like UMAP t-SNE reveal population heterogeneity potential subgroups. research also involved building machine learning models classify assessing their performances, as well model can best each type.. We investigated these networks along with NRG signaling for discern cell–cell communication events. The SPP1 pathway further triage the specific genes mediating interactive role in cells. presented view expression, glioma, which might be crucial piece understand complexity usher new therapeutic strategies across medical divisions.

Язык: Английский

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