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Published Erratum
. 2025 Jun 3;15(1):19417.
doi: 10.1038/s41598-025-03203-4.

Publisher Correction: Multimodal AI/ML for discovering novel biomarkers and predicting disease using multi-omics profiles of patients with cardiovascular diseases

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Published Erratum

Publisher Correction: Multimodal AI/ML for discovering novel biomarkers and predicting disease using multi-omics profiles of patients with cardiovascular diseases

William DeGroat et al. Sci Rep. .
No abstract available

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Figures

Fig. 3
Fig. 3
Differentially expressed genes and their expression plots. This figure presents the results of gene expression analysis and that includes, (A) Fold change in expression level based on differential expression (DE) analysis and redundancy – maximum relevance (MRMR) feature selection; (B) Significance levels of genes based on DE and MRMR; (C) Gene annotations for cellular component, molecular function, biological processes, and phenotypic abnormalities; and (D) RNA-seq expression plots for the ten most significant biomarkers.
Fig. 4
Fig. 4
Variant feature selection. This figure presents the rare, deleterious variants affecting our CVD associated biomarkers based on, (A) Combined Annotation Dependent Depletion (CADD) Score; (B) Allele frequency obtained from the Genome Aggregation Database (gnomAD); and (C) annotations of pathogenic single nucleotide variants (SNVs).

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