Generalizing RNA velocity to transient cell states through dynamical modeling V Bergen, M Lange, S Peidli, FA Wolf, FJ Theis Nature biotechnology 38 (12), 1408-1414, 2020 | 2027 | 2020 |
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 | 481 | 2022 |
Concepts and limitations for learning developmental trajectories from single cell genomics S Tritschler, M Büttner, DS Fischer, M Lange, V Bergen, H Lickert, ... Development 146 (12), dev170506, 2019 | 197 | 2019 |
RNA velocity—current challenges and future perspectives V Bergen, RA Soldatov, PV Kharchenko, FJ Theis Molecular systems biology 17 (8), e10282, 2021 | 191 | 2021 |
The scverse project provides a computational ecosystem for single-cell omics data analysis I Virshup, D Bredikhin, L Heumos, G Palla, G Sturm, A Gayoso, I Kats, ... Nature biotechnology 41 (5), 604-606, 2023 | 128 | 2023 |
Robust multivariate portfolio choice with stochastic covariance in the presence of ambiguity V Bergen, M Escobar, A Rubtsov, R Zagst Quantitative Finance 18 (8), 1265-1294, 2018 | 21 | 2018 |
Generalizing RNA velocity to transient cell states through dynamical modeling. bioRxiv. 2019 V Bergen, M Lange, S Peidli, F Alexander Wolf, FJ Theis URL https://www. biorxiv. org/content/early/2019/10/29/820936, 0 | 19* | |
Ly6D+Siglec-H+ precursors contribute to conventional dendritic cells via a Zbtb46+Ly6D+ intermediary stage K Lutz, A Musumeci, C Sie, E Dursun, E Winheim, J Bagnoli, ... Nature communications 13 (1), 3456, 2022 | 16 | 2022 |