What Challenges Exist in Community Detection for Cancer?
Despite its potential, community detection in cancer research faces several challenges:
1. Complexity of Biological Networks: Biological networks are often highly complex and dynamic, making community detection difficult. 2. Data Quality and Availability: High-quality, comprehensive data is essential for accurate community detection. Incomplete or noisy data can lead to incorrect conclusions. 3. Interpretation of Results: Even when communities are accurately detected, interpreting their biological significance requires substantial expertise and further experimental validation. 4. Scalability: Many community detection algorithms struggle with the large and intricate networks typical in cancer research.
