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Fig. 7 | Cancer Cell International

Fig. 7

From: Machine learning-based prognostic model of lactylation-related genes for predicting prognosis and immune infiltration in patients with lung adenocarcinoma

Fig. 7

Single-cell RNA-seq analysis in tumor and normal tissues. A Umap was used to downscale data from tumor tissues and normal tissues and annotate each cluster. B Expression of 10 lactylation-related genes in tumor tissues in different cells. C Scoring of lactylation-related genes in tumor tissues and normal tissues. D The 3 cell subtypes of the B cell differentiation process are shown. E Expression of MSA1 in the differentiation stages of the 3 B cell subtypes

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