Research Paper Volume 16, Issue 2 pp 1860—1878
The integration of multi-omics analysis and machine learning for the identification of prognostic assessment and immunotherapy efficacy through aging-associated genes in lung cancer
Figure 9. Single-cell sequencing analysis. (A) t-SNE clustering algorithm is used to classify cells into 8 clusters. (B) Heatmap visualizes the differentially expressed genes among the identified clusters. (C) “SingleR” package is employed to annotate different cell types, including T cells, Macrophage, Epithelial cells, Endothelial cells and Fibroblasts. (D) Heatmap visualizes the differentially expressed genes among the identified cells. (E–I) ScRNA-seq analysis reveals the expression patterns of key genes across different cell types.