Fig. 6From: Interpretable deep neural network for cancer survival analysis by integrating genomic and clinical dataThe architecture of Cox-PASNet. The structure of Cox-PASNet is constructed by a gene layer (an input layer), a pathway layer, multiple hidden layers, a clinical layer (additional input layer), and a Cox layer (an output layer)Back to article page