Subsequently filtered out. The shrinking parameter l tunes the amount of miRNAs remaining within the model. If it really is modest, lots of miRNAs are left. If it truly is massive, most of them are filtered out. For each regression model, we tuned l by minimizing the imply squared prediction error (MSE) within a -fold cross-validation. One separate model was learned for every predicted gene theref