How is Data Integration Achieved in Multi-Omics Studies?
Data integration in multi-omics studies involves combining datasets from different omics layers to provide a unified view of biological processes. Techniques like Principal Component Analysis (PCA), network analysis, and machine learning algorithms are commonly used to integrate and interpret multi-omics data. These methods help identify correlations and interactions between different molecular entities, providing insights into complex biological networks.
