Multi-omics data integration refers to the combined analysis of multiple types of biological data, such as genomics, transcriptomics, proteomics, and metabolomics, to gain a more comprehensive understanding of biological processes. This approach leverages the strengths of each omic layer to provide deeper insights into cellular functions, disease mechanisms, and potential therapeutic targets, thereby addressing some of the complexities found in proteomics research.
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