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Fig. 5 | Human Genomics

Fig. 5

From: Integrated analysis of RNA methylation regulators crosstalk and immune infiltration for predictive and personalized therapy of diabetic nephropathy

Fig. 5

Immune characteristics in distinct RNA modification patterns. A Consensus matrix of NMF algorithm for n = 3. B Unsupervised clustering of 37 RNA methylation regulators in the meta-cohort. Clinical information including Type and GEO database, as well as the cluster subtype, were shown in annotations above. Red represented the high expression of regulators and blue represented the low expression. C The fraction of immune-infiltrating cells in three clusters using the ssGSEA algorithm. *P < 0.05; **P < 0.01; ***P < 0.001. D Difference expression of each RNA methylation regulators in three modification subtypes. E Difference expression levels of RNA methylation regulators in three modification subtypes. F Principal component analysis for the expression of three subtypes

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Human Genomics

ISSN: 1479-7364