Data Complexity: The vast amount of data generated requires sophisticated computational tools and expertise in bioinformatics. Inter-tumor and Intra-tumor Heterogeneity: Variability between and within tumors can complicate data interpretation. Technical Variability: Differences in sample preparation, sequencing platforms, and data analysis methods can introduce biases. Clinical Translation: Moving from transcriptomic discoveries to clinical applications requires rigorous validation and regulatory approval.
