Biomarker selection in profiles of varying dimensionality

Hans Kestler
Introduction: In recent years, high-throughput methods have become standard tools in clinical investigations. Specialized machine learning methods allow for the analysis of these high-dimensional patterns for identifying biomarker combinations that are related to specific phenotypes. Such marker combinations[for full text, please go to the a.m. URL]