| Diffusion Pseudotime robustly reconstructs lineage branching L Haghverdi, M Büttner, FA Wolf, F Buettner, FJ Theis Nature Methods, 845–848, 2016 | 386 | 2016 |
| destiny: diffusion maps for large-scale single-cell data in R P Angerer, L Haghverdi, M Büttner, FJ Theis, C Marr, F Buettner Bioinformatics 32 (8), 1241-1243, 2016 | 181 | 2016 |
| A test metric for assessing single-cell RNA-seq batch correction M Büttner, Z Miao, FA Wolf, SA Teichmann, FJ Theis Nature Methods 16, 43-49, 2019 | 62* | 2019 |
| Transition state and ground state properties of the helix–coil transition in peptides deduced from high-pressure studies S Neumaier, M Büttner, A Bachmann, T Kiefhaber Proceedings of the National Academy of Sciences 110 (52), 20988-20993, 2013 | 27 | 2013 |
| Testing the diffusing boundary model for the helix–coil transition in peptides S Neumaier, A Reiner, M Büttner, B Fierz, T Kiefhaber Proceedings of the National Academy of Sciences 110 (32), 12905-12910, 2013 | 24 | 2013 |
| 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 | 21 | 2019 |
| Aldh1b1 expression defines progenitor cells in the adult pancreas and is required for Kras-induced pancreatic cancer PNAS, 2019 | 1* | 2019 |
| Deep learning does not outperform classical machine learning for cell-type annotation ND Köhler, M Büttner, FJ Theis bioRxiv, 2019 | 1 | 2019 |
| Statistical data integration for single-cell RNA-sequencing-batch effect correction and lineage inference M Büttner Technische Universität München, 2019 | | 2019 |
