What are the Challenges of Multi-Omics Approaches in Histology?
Despite their potential, multi-omics approaches face several challenges: - Data Complexity: The vast amount of data generated requires significant computational resources and expertise in bioinformatics. - Data Integration: Integrating data from different omics layers can be challenging due to variations in data types and formats. - Biological Interpretation: Translating multi-omics data into meaningful biological insights requires a deep understanding of both the biology and the computational methods used.
