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Fig. 3 | BMC Medical Informatics and Decision Making

Fig. 3

From: Identification and validation of cuproptosis related genes and signature markers in bronchopulmonary dysplasia disease using bioinformatics analysis and machine learning

Fig. 3

The expression of DCRGs was divided by consistent clustering into two different subtype samples and biological characteristics. (A) Consensus matrix heat map defining two clusters (k = 2) and their correlation area. (B) Consistency cumulative distribution function curve. (C) The abundance of each TME infiltrating cell in two clusters. (D) GSVA of biological pathways between two distinct subtypes, where red and blue represent up- and down-regulated pathways, respectively

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BMC Medical Informatics and Decision Making

ISSN: 1472-6947

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