A Machine Learning-Based Classification of Immunogenic Cell Death Regulators and Characterisation of Immune Microenvironment in Acute Ischemic Stroke

Figure 5

Consensus clustering of the 15 vital ICD regulators in AIS. (a–d) Consensus matrices of the 15 significant ICD regulators for k = 2–5. (e) Expression heat map of the 15 crucial ICD regulators in cluster A and cluster B. (f) 15 vital ICD’s distinctive expression of regulators in cluster A and cluster B ( < 0.05,  < 0.01, and  < 0.001). (g) Principal component analysis recovers transcriptomes’ striking distinctions in the two ICD patterns based on the expression profiles of 15 essential ICD regulators. (h) GO and KEGG analyses investigate the possible mechanism based on the influence of the 181 ICD-associated DEGs on the happening and progression of AIS. (i) GSEA analysis examines the latent mechanism based on the effect of ICD-related DEGs on the development and progression of AIS.

(a)

(b)

(c)

(d)

(e)

(f)

(g)

(h)

(i)