Despite its importance, quantitative analysis in cancer research faces several challenges:
Data Quality: Inconsistent or incomplete data can lead to inaccurate conclusions. Complexity: Cancer is a highly complex disease with numerous variables, making analysis challenging. Integration: Combining data from different sources (e.g., genomic, proteomic, clinical) requires sophisticated methods. Interpretation: Statistical significance does not always equate to biological relevance, making interpretation difficult.
