A Deep Neural Network for Gastric Cancer Prognosis Prediction Based on Biological Information Pathways

Figure 2

The architecture of the GCS-Net proposed to integrate multiomics data for the GC prognosis prediction. The structure of the GCS-Net consists of a feature layer (multiomics data), a layer of genes, and four layers of biological pathways based on Reactome, and the layers are directly sparsely connected.