Metabolomic data is typically collected using high-throughput techniques such as mass spectrometry (MS) and nuclear magnetic resonance (NMR) spectroscopy. These technologies enable the detection and quantification of a wide range of metabolites from various biological samples, including blood, urine, and tissue samples. The data generated from these techniques are then analyzed using bioinformatics tools to identify significant metabolic changes associated with cancer.