| Mol2vec: unsupervised machine learning approach with chemical intuition S Jaeger, S Fulle, S Turk Journal of chemical information and modeling 58 (1), 27-35, 2018 | 127 | 2018 |
| Pocketome of human kinases: prioritizing the ATP binding sites of (yet) untapped protein kinases for drug discovery A Volkamer, S Eid, S Turk, S Jaeger, F Rippmann, S Fulle Journal of chemical information and modeling 55 (3), 538-549, 2015 | 36 | 2015 |
| Machine learning prediction of cyanobacterial toxin (microcystin) toxicodynamics in humans S Altaner, S Jaeger, R Fotler, I Zemskov, V Wittmann, F Schreiber, ... Alternatives to Animal Experimentation: ALTEX 37 (1), 2020 | 6 | 2020 |
| Challenges for Brain Data Analysis in VR Environments S Jaeger, K Klein, L Joos, J Zagermann, M de Ridder, J Kim, J Yang, ... 2019 IEEE Pacific Visualization Symposium (PacificVis), 42-46, 2019 | 1 | 2019 |
| Erratum to Machine learning prediction of cyanobacterial toxin (microcystin) toxicodynamics in humans S Altaner, S Jaeger, R Fotler, I Zemskov, V Wittmann, F Schreiber, ... ALTEX-Alternatives to animal experimentation 37 (2), 337-338, 2020 | | 2020 |
| Visual Analytics for Cheetah Behaviour Analysis K Klein, S Jaeger, J Melzheimer, B Wachter, H Hofer, A Baltabayev, ... Proceedings of the 12th International Symposium on Visual Information …, 2019 | | 2019 |
| Immersive Analytics for Molecular Dynamics Simulations S Jaeger, K Klein, O Kukharenko, P Paetzold, F Strauss, C Peter, ... | | |
Samo TurkGinkgo Analytics GmbHVerified email at ginkgo-analytics.com
