What Are the Challenges in Feature Selection for Cancer?
Several challenges arise in feature selection for cancer research:
- Noise and Redundancy: Cancer datasets often contain noisy and redundant features that can obscure the signal of true predictors.
- Small Sample Size: High-dimensional datasets with small sample sizes can lead to overfitting and biased feature selection.
- Heterogeneity: Cancer is a highly heterogeneous disease, making it difficult to identify universally relevant features across different patient cohorts.
