Despite its potential, multi-omics faces several challenges. One of the primary issues is the complexity and volume of data, which require sophisticated computational resources and expertise to analyze. Additionally, integrating datasets from different omics technologies can be technically challenging due to variations in data quality and parameters. Standardizing data collection and analysis methods is essential to overcome these hurdles.
