| Mechanisms governing the pioneering and redistribution capabilities of the non-classical pioneer PU. 1 J Minderjahn, A Schmidt, A Fuchs, R Schill, J Raithel, M Babina, ... Nature communications 11 (1), 402, 2020 | 91 | 2020 |
| Modelling cancer progression using mutual hazard networks R Schill, S Solbrig, T Wettig, R Spang Bioinformatics 36 (1), 241-249, 2020 | 29 | 2020 |
| Low-rank tensor methods for Markov chains with applications to tumor progression models P Georg, L Grasedyck, M Klever, R Schill, R Spang, T Wettig Journal of Mathematical Biology 86 (1), 7, 2023 | 10 | 2023 |
| Differentiated uniformization: A new method for inferring Markov chains on combinatorial state spaces including stochastic epidemic models K Rupp, R Schill, J Süskind, P Georg, M Klever, A Lösch, L Grasedyck, ... Computational Statistics, 1-21, 2024 | 3 | 2024 |
| Taming numerical imprecision by adapting the KL divergence to negative probabilities S Pfahler, P Georg, R Schill, M Klever, L Grasedyck, R Spang, T Wettig arXiv preprint arXiv:2312.13021, 2023 | 1 | 2023 |
| Overcoming Observation Bias for Cancer Progression Modeling R Schill, M Klever, A Lösch, YL Hu, S Vocht, K Rupp, L Grasedyck, ... bioRxiv, 2023.12. 03.569824, 2023 | 1 | 2023 |
| Reconstructing Disease Histories in Huge Discrete State Spaces R Schill, M Klever, K Rupp, YL Hu, A Lösch, P Georg, S Pfahler, S Vocht, ... KI-Künstliche Intelligenz, 1-11, 2024 | | 2024 |
| Modeling metastatic progression from cross-sectional cancer genomics data K Rupp, A Lösch, YL Hu, C Nie, R Schill, M Klever, S Pfahler, L Grasedyck, ... bioRxiv, 2024.01. 30.577989, 2024 | | 2024 |
| Mutual Hazard Networks: Markov chain models of cancer progression R Schill | | 2022 |
