Revolutionizing genomics predictions: Paired lasso outperforms standard methods
The paired lasso is a new method for predicting outcomes using two sets of data that are related. It helps choose the best data from each set and combines them to make better predictions. In tests with genomics data, the paired lasso was better at making accurate models with fewer variables compared to other methods like the standard lasso.
