The document discusses large-scale systems biology and biomedical data mining. It describes three phases of research: 1) constructing association networks from genomic and protein interaction data, 2) building signaling networks by predicting kinase-substrate relationships using phosphoproteomics and machine learning, and 3) analyzing dynamic networks to understand temporal regulation of cellular processes using time-course data. The overall goal is to extract specific predictions and insights into systems properties through data mining approaches.