Markus Zetes

Dimensionality reduction and metabolite panel derivation in urinary metabolomics based on Random Forest with Gini index feature selection

Abstract Untargeted urinary metabolomics represents a promising approach for investigating metabolic alterations associated with oncogenic processes such as breast cancer (BC). However, the stable selection of informative m/z features remains a central challenge in biomarker-orie...