Figure 10 — 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

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

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Figure 10.Single-cell cell-cell communication analysis. (A–C) Cell communication analysis reveals distinct communication patterns among different cell types in liver cancer. (D) The “cellchat” package is utilized to investigate the number of interactions between different cell types. (E) The “cellchat” package is employed to study the strength of interactions between different cell types. (F) The analysis focuses on exploring the molecular mechanisms underlying the interactions between different cell types.