| scROSHI: robust supervised hierarchical identification of single cells M Prummer, A Bertolini, L Bosshard, F Barkmann, J Yates, V Boeva, ... NAR Genomics and Bioinformatics 5 (2), lqad058, 2023 | 8 | 2023 |
| Superiorization of projection algorithms for linearly constrained inverse radiotherapy treatment planning F Barkmann, Y Censor, N Wahl Frontiers in Oncology 13, 1238824, 2023 | 3* | 2023 |
| CanSig: discovery of shared transcriptional states across cancer patients from single-cell RNA sequencing data J Yates, F Barkmann, P Czyz, A Kraft, M Glettig, F Lohmann, E Saquand, ... bioRxiv, 2022.04. 14.488324, 2022 | 2* | 2022 |
| scTree: Discovering Cellular Hierarchies in the Presence of Batch Effects in scRNA-seq Data M Vandenhirtz, F Barkmann, L Manduchi, JE Vogt, V Boeva arXiv preprint arXiv:2406.19300, 2024 | | 2024 |
| Unraveling potential genetic drivers of intratumor transcriptional heterogeneity and phenotypic plasticity in malignant cells A Kraft, J Yates, F Barkmann, V Boeva CANCER RESEARCH 84 (3), 2024 | | 2024 |
| ANS: Adjusted Neighborhood Scoring to improve assessment of gene signatures in single-cell RNA-seq data L Ciernik, A Kraft, F Barkmann, J Yates, V Boeva bioRxiv, 2023.09. 20.558114, 2023 | | 2023 |
