Fig. 1
From: Network-based machine learning and graph theory algorithms for precision oncology

Overview of the methods for network-based precision oncology. a The methods for integration of patient genomic data and molecular networks grouped under the three scenarios of data analysis pipelines. b The methods for integration of drug–drug similarities, drug–target relations and target–target relations for drug repositioning, grouped under three algorithmic categories. c Patient genomic profiles describe the genomic landscape of each patient sample. d The patient genomic profiles are integrated with a molecular network, the human protein–protein interaction (PPI) network in the example. e Drug and disease phenotypes are modeled in a network with connections to the target genes in the PPI network. f An example of cancer subnetworks associated with recurrent ovarian cancer.36 g Resources of biomedical and molecular networks. h List of the TCGA cancer studies