Additionally, it opens a wide range of applications in clinical diagnostics, treatment stratification, and drug discovery. They provide direct biological insights into physiological patterns, while genetics accounting for baseline characteristics. Quantitative proteomics provide insight about the dynamic behaviour of proteins as they represent intermediate phenotypes. However, with the advances in biomedical and omics technologies, quantitative proteomics is emerging as a powerful technology complementing genetics. From the start, genetics has been an indispensable tool to understand and stratify the biology of chronic and complex diseases in precision medicine. Precision medicine as a framework for disease diagnosis, treatment, and prevention at the molecular level has entered clinical practice. 5Theoretical Physics, Data Science Institute, Hasselt University, Diepenbeek, Belgium.4National Institute for Applied Statistics Research Australia (NIASRA), Wollongong, NSW, Australia.3Department of Applied Mathematics, Computer Science and Statistics, Faculty of Sciences, Ghent University, Ghent, Belgium.2Flemish Institute for Technological Research (VITO), Mol, Belgium.1Data Science Institute, Interuniversity Institute for Biostatistics and Statistical Bioinformatics (I-BioStat), Hasselt University, Diepenbeek, Belgium.Alejandro Correa Rojo 1,2 *, Dries Heylen 1,2, Jan Aerts 1, Olivier Thas 1,3,4, Jef Hooyberghs 2,5, Gökhan Ertaylan 2 * and Dirk Valkenborg 1 *
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