Multi-omics approaches involve the comprehensive analysis of various "omics" data types, such as genomics, transcriptomics, proteomics, and metabolomics, to understand the complex interplay of biological systems. These approaches aim to provide a holistic view of cellular functions and disease mechanisms by integrating data from different biological layers.
