How Does Ridge Regression Aid in Biomarker Discovery?
In cancer research, identifying biomarkers is crucial for early diagnosis and personalized treatment. Ridge regression can be used to analyze gene expression data, where the number of genes (predictors) is much larger than the number of samples. The regularization term in ridge regression helps to identify the most significant genes related to cancer, facilitating the discovery of potential biomarkers.
