How Does Sparsity Affect Gene Expression Analysis?
Gene expression analysis often relies on high-dimensional data where sparsity is prevalent. In many cases, only a few genes out of thousands are differentially expressed between cancerous and normal tissues. This sparsity can lead to overfitting if not properly addressed. Techniques such as regularization and dimensionality reduction are employed to mitigate these issues and enhance the interpretability of the results.
