Biomarker discovery is rapidly evolving from single-omics analysis to multi-omics integration, enabling a more accurate understanding of human disease. By combining genomic, transcriptomic, proteomic, metabolomic, and other data layers, multi-omics approaches reveal robust, clinically relevant biomarkers that single-omics strategies often miss.
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Advancing biomarker discovery through multi-omics integration