Although transcriptomics offers valuable insights, it also presents several challenges:
Data complexity: The datasets generated are large and complex, requiring sophisticated computational tools for analysis. Technical variability: Variations in sample preparation, sequencing, and data processing can affect results. Biological variability: Differences between individuals and within samples can complicate data interpretation.
