Skip to main content


Fig. 7 | BMC Bioinformatics

Fig. 7

From: PASNet: pathway-associated sparse deep neural network for prognosis prediction from high-throughput data

Fig. 7

Training of PASNet. (a) Weights and biases are randomly initialized. Connections between the gene layer and the pathway layer are determined by biological pathway databases, and the remaining layers are considered as fully-connected in this step. (b) A sub-network is randomly selected using a dropout technique and trained. (c) Sparse coding optimizes the sparsity of connections in the sub-network

Back to article page