Fig. 1
From: Supervised multiple kernel learning approaches for multi-omics data integration
A kernel function is applied on each dataset separately. In MKL, a convex linear combination provides a fused Meta-kernel that summarizes the information of input omics. Then an SVM classifier is used for classification