Figure 1.

The overall structure of this paper. Based on the fact that the current standard approaches rely on separate mono-genomics data analyses followed by manual integration, multiple genomic data fused regression approach (MGPLS) is proposed to identifying signature genes. MGPLS method can analysis all data types simultaneously using a single integrated regression model as well as eliminating noise effects. VIP: variable importance on projection; CV: cross-validation; UVE: uninformative variable elimination.