Data Mining in Metabolomics: From Metabolite Profiling to Clinical Diagnosis

Innovative computational applications in metabolomics have great potential for die development of automated diagnostics. By huge advances in high-throughput technologies in the last past years, a wide set of the human metabolome - a thus far largely unexplored source of bioinformation - is now accessible After reviewing a certain population of healthy and diseased people, statistical comparison of metabolite profiles can expose multivariate patterns that have the potential to revolutionise the health care system by specifically capturing latent warning signs of up-coming diseases before any disease symptoms show Lip Advanced data mining and bioinformatics techniques are applied to increasingly comprehensive and complex metabolic data sets, with the objective to identify and verify robust and generalisable biomarkers that are biochemically interpretable and biologically relevant in the context of the disease. The predictive power of biomarkers is therefore utilized to develop validated and qualified models for early disease screening and therapeutic monitoring. In conclusion, metabolomics combining modem metabolite profiling techniques with advanced data mining has the potential to revolutionise diagnostics and drug discovery in the future.