Recent Advances on Penalized Regression Models for Biological Data

Increasingly amounts of biological data promote the development various penalized regression models. This review discusses recent advances in both linear and logistic models with penalization terms. is mainly focused on models, some corresponding optimization algorithms, their applications data. The pros cons different terms response prediction, sample classification, network construction feature selection are also reviewed. performances a real-world RNA-seq dataset for breast cancer explored. Finally, future directions discussed.