PPI networks are mapped using various techniques such as yeast two-hybrid screening, co-immunoprecipitation, and mass spectrometry. Computational methods, including machine learning algorithms, are also employed to predict potential interactions. These approaches generate comprehensive maps that can be analyzed to identify critical nodes and pathways involved in cancer.