Fig. 1From: Integrate multi-omics data with biological interaction networks using Multi-view Factorization AutoEncoder (MAE)A simple illustration of the proposed framework with two data views, each with an encoder and a decoder. Different views are fused in the latent space and the fused view is used for supervised learning. Feature interaction networks are incorporated as regularizers into the training objectiveBack to article page