essential for the intended tasks such as classification, clustering or regression analysis. In gene expression microarray data …. Microarray data has typically several thousands of genes (features) but only tens of samples. Problems which can occur due to the … microarray data in order to select the most predictive genes. We compare classical approaches based on statistical tests with a …

popular approaches in this research field is given by Lasso-type methods. An alternative approach is based on information … criteria. In contrast to the Lasso, these methods also work well in the case of highly correlated predictors. However, this …

time after others. In particular, we propose a penalized (LASSO) regression with an error correction mechanism to construct …