| Squidpy: a scalable framework for spatial omics analysis G Palla, H Spitzer, M Klein, D Fischer, AC Schaar, LB Kuemmerle, ... Nature methods 19 (2), 171-178, 2022 | 433 | 2022 |
| CellRank for directed single-cell fate mapping M Lange, V Bergen, M Klein, M Setty, B Reuter, M Bakhti, H Lickert, ... Nature methods 19 (2), 159-170, 2022 | 396 | 2022 |
| Integrated intra‐and intercellular signaling knowledge for multicellular omics analysis D Türei, A Valdeolivas, L Gul, N Palacio‐Escat, M Klein, O Ivanova, ... Molecular systems biology 17 (3), e9923, 2021 | 202 | 2021 |
| Scalable pre-training of large autoregressive image models A El-Nouby, M Klein, S Zhai, MA Bautista, A Toshev, V Shankar, ... arXiv preprint arXiv:2401.08541, 2024 | 21 | 2024 |
| Mapping cells through time and space with moscot D Klein, G Palla, M Lange, M Klein, Z Piran, M Gander, ... bioRxiv, 2023.05. 11.540374, 2023 | 19 | 2023 |
| Discovering ordinary differential equations that govern time-series S Becker, M Klein, A Neitz, G Parascandolo, N Kilbertus arXiv preprint arXiv:2211.02830, 2022 | 12* | 2022 |
| Monge, bregman and occam: Interpretable optimal transport in high-dimensions with feature-sparse maps M Cuturi, M Klein, P Ablin arXiv preprint arXiv:2302.04065, 2023 | 10 | 2023 |
| Squidpy: a scalable framework for spatial single cell 2 analysis G Palla, H Spitzer, M Klein, D Fischer, A Christina, L Benedikt Kuemmerle, ... BioRxiv, 2021 | 5 | 2021 |
| Unified fate mapping in multiview single-cell data P Weiler, M Lange, M Klein, D Pe’er, FJ Theis bioRxiv, 2023.07. 19.549685, 2023 | 4 | 2023 |
| Learning costs for structured monge displacements M Klein, AA Pooladian, P Ablin, E Ndiaye, J Niles-Weed, M Cuturi arXiv preprint arXiv:2306.11895, 2023 | 4 | 2023 |
| Mapping lineage-traced cells across time points with moslin M Lange, Z Piran, M Klein, B Spanjaard, D Klein, JP Junker, FJ Theis, ... bioRxiv, 2023.04. 14.536867, 2023 | 3 | 2023 |
| CellRank 2: unified fate mapping in multiview single-cell data P Weiler, M Lange, M Klein, D Pe’er, F Theis Nature Methods, 1-10, 2024 | 1 | 2024 |
| Unbalanced low-rank optimal transport solvers M Scetbon, M Klein, G Palla, M Cuturi Advances in Neural Information Processing Systems 36, 2024 | 1 | 2024 |
| Progressive Entropic Optimal Transport Solvers P Kassraie, AA Pooladian, M Klein, J Thornton, J Niles-Weed, M Cuturi arXiv preprint arXiv:2406.05061, 2024 | | 2024 |
| Contrasting Multiple Representations with the Multi-Marginal Matching Gap Z Piran, M Klein, J Thornton, M Cuturi arXiv preprint arXiv:2405.19532, 2024 | | 2024 |
| Defining and benchmarking open problems in single-cell analysis MD Luecken, S Gigante, DB Burkhardt, R Cannoodt, DC Strobl, ... Research Square, 2024 | | 2024 |
| Careful with that Scalpel: Improving Gradient Surgery with an EMA YG Hsieh, J Thornton, E Ndiaye, M Klein, M Cuturi, P Ablin arXiv preprint arXiv:2402.02998, 2024 | | 2024 |
| Learning Elastic Costs to Shape Monge Displacements M Klein, AA Pooladian, P Ablin, E Ndiaye, J Niles-Weed, M Cuturi arXiv e-prints, arXiv: 2306.11895, 2023 | | 2023 |
| Self-Supervised Learning with the Matching Gap Z Piran, M Klein, J Ramapuram, D Busbridge, S Villar, A Joulin | | |
Fabian J TheisHelmholtz Munich, Technical University of MunichAdresse e-mail validée de helmholtz-muenchen.de
