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Disease is rarely a static state. It emerges through coordinated molecular changes that unfold across time, tissues, cell types, and regulatory networks.

Multi-omics integration aims to combine multiple layers of molecular data, such as transcriptomics, proteomics, epigenomics, and metabolomics, from the same set of biological samples.