How is Lasso Regularization Applied in Cancer Studies?
Lasso regularization is widely used in various aspects of cancer research, such as: 1. Genomic Data Analysis: Lasso is used to analyze high-throughput genomic data to identify key genetic mutations or expression profiles associated with cancer. 2. Prognostic Model Development: By incorporating clinical and biological data, Lasso helps in developing prognostic models that can predict patient outcomes, aiding in personalized medicine. 3. Drug Response Prediction: Lasso is utilized to predict how cancer cells will respond to different drugs based on genomic and proteomic data, thereby facilitating the development of targeted therapies.
