Biomedical Applications of Prototype Based Classifiers and Relevance Learning

In this contribution, prototype-based systems and relevance learning are presented and discussed in the context of biomedical data analysis. Learning Vector Quantization and Matrix Relevance Learning serve as the main examples. After introducing basic concepts and related approaches, example applications of Generalized Matrix Relevance Learning are reviewed, including the classification of adrenal tumors based on steroid metabolomics data, the analysis of cytokine expression in the context of Rheumatoid Arthritis, and the prediction of recurrence risk in renal tumors based on gene expression.