Publications

Adamer, M. F.; Brüningk, S. C.; Chen, D.; Borgwardt, K.: Biomarker identification by interpretable maximum mean discrepancy. Bioinformatics 40 (Suppl. 1), pp. i501 - i510 (2024)

Lyu, X.; Fan, B.; Hüser, M.; Hartout, P.; Gumbsch, T.; Faltys, M.; Merz, T. M.; Rätsch, G.; Borgwardt, K.: An empirical study on KDIGO-defined acute kidney injury prediction in the intensive care unit. Bioinformatics 40 (Suppl. 1), pp. i247 - i256 (2024)

Bock, C.; Walter, J. E.; Rieck, B.; Strebel, I.; Rumora, K.; Schaefer, I.; Zellweger, M. J.; Borgwardt, K.; Müller, C.: Enhancing the diagnosis of functionally relevant coronary artery disease with machine learning. Nature Communications 15 (1), 5034 (2024)

Hornauer, P.; Prack, G.; Anastasi, N.; Ronchi, S.; Kim, T.; Donner, C.; Fiscella, M.; Borgwardt, K.; Taylor, V.; Jagasia, R. et al.; Roqueiro, D.; Hierlemann, A.; Schröter, M.: DeePhys: A machine learning–assisted platform for electrophysiological phenotyping of human neuronal networks. Stem Cell Reports 19, pp. 285 - 298 (2024)

Cervia-Hasler, C.; Brüningk, S. C.; Hoch, T.; Fan, B.; Muzio, G.; Thompson, R. C.; Ceglarek, L.; Meledin, R.; Westermann, P.; Emmenegger, M. et al.; Taeschler, P.; Zurbuchen, Y.; Pons, M.; Menges, D.; Ballouz, T.; Cervia-Hasler, S.; Adamo, S.; Merad, M.; Charney, A. W.; Puhan, M.; Brodin, P.; Nilsson, J.; Aguzzi, A.; Raeber, M. E.; Messner, C. B.; Beckmann, N. D.; Borgwardt, K.; Boyman, O.: Persistent complement dysregulation with signs of thromboinflammation in active Long Covid. Science 383 (6680), eadg7942 (2024)

Pellizzoni, P.; Oliver, C.; Borgwardt, K.: Structure- and function-aware substitution matrices via learnable graph matching. Research in Computational Molecular Biology (RECOMB 2024). Lecture Notes in Computer Science, Vol. 14758, pp. 288 - 307 (2024)

Pellizzoni, P.; Schulz, T.; Chen, D.; Borgwardt, K. M.: On the expressivity and sample complexity of node-individualized graph neural networks. Conference on Neural Information Processing Systems (NeurIPS 2024) (2024)

Chen, D.; Hartout, P.; Pellizzoni, P.; Oliver, C.; Borgwardt, K.: Endowing protein language models with structural knowledge. arXiv: Condensed Matter-Materials Science (2024)

Muzio, G.; Adamer, M.; Fernandez, L.; Borgwardt, K.; Avican, K.: Bacterial protein function prediction via multimodal deep learning. bioRxiv: the preprint server for biology (2024)