 Metabolomics is a rapidly growing field of study that uses advanced analytical methods to measure the chemical composition of biological samples. It has the potential to provide valuable insight into the underlying mechanisms of disease and drug responses, as well as providing novel biomarkers for various applications. Recent developments in the analysis of metabolomic data include the use of Gaussian graphical models and independent component analysis, ICA. These techniques are able to identify patterns in metabolite concentrations that would otherwise remain undetected, allowing for more accurate interpretation of metabolomic data. This article was authored by George Bartle, Jan Krumsek, and Fabian J. Tice.