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Fig. 1 | BMC Bioinformatics

Fig. 1

From: Nonnegative matrix factorization analysis and multiple machine learning methods identified IL17C and ACOXL as novel diagnostic biomarkers for atherosclerosis

Fig. 1

The molecular subtypes categorization of AS base on expression profiles. (A) AS patients from GSE21545 dataset were divided into sub‐consensuses based on the gene transcriptional profiling using NMF method. Consensus maps showed the correlation profiling of AS derived from two sub‐consensuses. (B) Kaplan–Meier curve showed a significant difference between the two clusters. (C) UMAP analysis for the transcriptome profiles of C1 cluster and C2 cluster, showing a remarkable difference on transcriptome between different group. (D) GO enrichment analysis, (E) KEGG enrichment analysis for prognostic related DEGs

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BMC Bioinformatics

ISSN: 1471-2105

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