The integration of multi-omic data in histology typically involves several steps:
1. Data Collection: Different omics data are collected from the same tissue samples. For example, histological staining might be combined with RNA sequencing or mass spectrometry-based proteomics. 2. Data Normalization: Each type of omics data is processed and normalized to ensure compatibility. 3. Data Analysis: Advanced computational tools and algorithms are employed to integrate and analyze the combined dataset. 4. Visualization: The results are often visualized in the context of the histological images to provide a spatially-resolved molecular map.
