A machine-learned knowledge discovery method for associating complex phenotypes with complex genotypes. Application to pain. - Jörn Lötsch; Alfred Ultsch (J. Biomed. Informatics, 2013)

Exploiting the Structures of the U-Matrix. - Jörn Lötsch; Alfred Ultsch (WSOM, 2014)

ESOM Visualizations for Quality Assessment in Clustering. - Alfred Ultsch; Martin Behnisch; Jörn Lötsch (WSOM, 2016)

Machine-learned cluster identification in high-dimensional data. - Alfred Ultsch; Jörn Lötsch (J. Biomed. Informatics, 2017)

Computational functional genomics-based reduction of disease-related gene sets to their key components. - Catharina Lippmann; Alfred Ultsch; Jörn Lötsch (Bioinform., 2019)

The Fundamental Clustering and Projection Suite (FCPS): A Dataset Collection to Test the Performance of Clustering and Data Projection Algorithms. - Alfred Ultsch; Jörn Lötsch (Data, 2020)

Euclidean distance-optimized data transformation for cluster analysis in biomedical data (EDOtrans). - Alfred Ultsch; Jörn Lötsch (BMC Bioinform., 2022)

Augmenting small biomedical datasets using generative AI methods based on self-organizing neural networks. - Alfred Ultsch; Jörn Lötsch (Briefings Bioinform., 2024)