Publications

O'Bray, L.; Rieck, B.; Borgwardt, K.: Filtration Curves for Graph Representation. KDD '21: Proceedings of the 27th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, pp. 1267 - 1275 (2021)

Moor, M.; Rieck, B.; Horn, M.; Jutzeler, C. R.; Borgwardt, K.: Early Prediction of Sepsis in the ICU Using Machine Learning: A Systematic Review. Frontiers in Medicine 8, 607952 (2021)

Gumbsch, T.; Borgwardt, K.: Ethnicity-based bias in clinical severity scores. The Lancet Digital Health 3 (4), pp. 209 - 210 (2021)

Avican, K.; Aldahdooh, J.; Togninalli, M.; Mahmud, A. K. M. F.; Tang, J.; Borgwardt, K. M.; Rhen, M.; Fällman, M.: RNA atlas of human bacterial pathogens uncovers stress dynamics linked to infection. Nature Communications 12 (1), 3282 (2021)

Gärtner, M.; Ghisu, E.; Herrera-Melendez, A. L.; Koslowski, M.; Aust, S.; Asbach, P.; Otte, C.; Regen, F.; Heuser, I.; Borgwardt, K. et al.; Grimm, S.; Bajbouj, M.: Using routine MRI data of depressed patients to predict individual responses to electroconvulsive therapy. Experimental Neurology 335, 113505 (2021)

Gumpinger, A. C.; Rieck, B.; Grimm, D. G.; International Headache Genetics, C.; Borgwardt, K.: Network-guided search for genetic heterogeneity between gene pairs. Bioinformatics 37 (1), pp. 57 - 65 (2021)

Muzio*, G.; O’Bray*, L.; Borgwardt*, K.; (* = equal contribution): Biological network analysis with deep learning. Briefings in Bioinformatics 22 (2), pp. 1515 - 1530 (2021)

Morris, C.; Lipman, Y.; Maron, H.; Rieck, B.; Kriege, N. M.; Grohe, M.; Fey, M.; Borgwardt, K.: Weisfeiler and Leman go Machine Learning: The Story so far. (2021)

Moor, M.; Bennet, N.; Plecko, D.; Horn, M.; Rieck, B.; Meinshausen, N.; Bühlmann, P.; Borgwardt, K.: Predicting sepsis in multi-site, multi-national intensive care cohorts using deep learning. (2021)