Application of an interpretable classification model on Early Folding Residues during protein folding

Machine learning strategies are prominent tools for data analysis. Especially in life sciences, they have become increasingly important to handle the growing datasets collected by the scientific community. Meanwhile, algorithms improve in performance, but also gain complexity, and tend to neglect interpretability and comprehensiveness of the resulting models.Generalized Matrix Learning Vector Quantization (GMLVQ) is a supervised, prototype-based...