Fig. 2From: Integrate multi-omics data with biological interaction networks using Multi-view Factorization AutoEncoder (MAE)A typical feature interaction network regularizer training loss curve. After about 100 iterations, the training loss (corresponding to the third term in Eq. 16) approaches almost zero, which means the learned molecular feature embeddings become consistent with the provided feature interaction networksBack to article page