Fig. 1.

Workflow of our network-based method. The raw omics data are first processed into data matrices by applying dimensionality reduction. The selected omics features are then used to infer Patient Similarity Networks (PSN), from which topological features are extracted. These network topological features are then used to build classification models, with classes defined according to the binary clinical descriptors