Stephan Breimann

AAontology: An ontology of amino acid scales for interpretable machine learning

AAontology classifies 586 amino acid scales into 8 categories and 67 subcategories to improve interpretability in protein prediction tasks.

AAclust: k-optimized clustering for selecting redundancy-reduced sets of amino acid scales

AAclust optimizes k-values for clustering amino acid scales to reduce redundancy, improving performance on protein prediction benchmarks.