Weighted overlapping group lasso for integrating prior network knowledge into gene set analysis

Overlapping group lasso is a regularization method for group selection allowing overlapping variables. Network-based regularization is a variable selection method utilizing graph information among variables. The proposed weighted overlapping group lasso (wOGL) adopts the coefficient estimates of network-based regularization for the weight of overlapping group lasso. Consequently, it can identify gene sets containing differentially expressed genes, utilizing prior network knowledge.