The integration of multi-omics data involves several steps, including data preprocessing, normalization, and statistical analysis. Various computational tools and platforms, such as bioinformatics software and machine learning algorithms, are employed to analyze the data. Techniques like Principal Component Analysis (PCA) and network analysis are often used to identify patterns and correlations across different omics layers.