Why is Elastic Net Regularization Important in Cancer Research?
Cancer is a complex disease influenced by numerous genetic, epigenetic, and environmental factors. As a result, researchers often work with large datasets that include thousands of potential biomarkers or genetic variants. Traditional regression methods can struggle with such high-dimensional data, leading to overfitting and poor model generalization. Elastic net regularization helps by performing both variable selection and regularization, which can yield more robust and interpretable models.
