Fig. 2
From: Supervised multiple kernel learning approaches for multi-omics data integration
Deep MKL (concat) takes in input the Kernel PCA dense embeddings of different omics datasets. It extracts the features using different feedforward sub-networks and then fuses the learnt representations by concatenating them for the final classification