What Are the Challenges in Run Analysis for Cancer?
Despite its benefits, run analysis in cancer research faces several challenges:
Data Quality: Incomplete or inaccurate data can lead to misleading results. Ensuring high-quality, consistent data collection is essential. Complexity: Cancer is a complex disease with many variables. Incorporating all relevant factors into the analysis can be challenging. Sample Size: Small sample sizes can reduce the power of statistical tests, making it harder to detect significant patterns. Variability: High variability in patient responses and disease progression can complicate the interpretation of results.
