| Large-scale DNA-based phenotypic recording and deep learning enable highly accurate sequence-function mapping S Höllerer, L Papaxanthos, AC Gumpinger, K Fischer, C Beisel, ... Nature communications 11 (1), 3551, 2020 | 49 | 2020 |
| Methods and tools in genome-wide association studies AC Gumpinger, D Roqueiro, DG Grimm, KM Borgwardt Computational Cell Biology: Methods and Protocols, 93-136, 2018 | 26 | 2018 |
| Prediction of cancer driver genes through network-based moment propagation of mutation scores AC Gumpinger, K Lage, H Horn, K Borgwardt Bioinformatics 36 (Supplement_1), i508-i515, 2020 | 23 | 2020 |
| Optimization of the antimicrobial peptide Bac7 by deep mutational scanning P Koch, S Schmitt, A Heynisch, A Gumpinger, I Wüthrich, M Gysin, ... BMC biology 20 (1), 114, 2022 | 15 | 2022 |
| Network-guided search for genetic heterogeneity between gene pairs AC Gumpinger, B Rieck, DG Grimm, ... Bioinformatics 37 (1), 57-65, 2021 | 7 | 2021 |
| Assessing the optimal virulence of malaria‐targeting mosquito pathogens: a mathematical study of engineered Metarhizium anisopliae BP Konrad, M Lindstrom, A Gumpinger, J Zhu, D Coombs Malaria Journal 13, 1-10, 2014 | 3 | 2014 |
| Machine learning on molecular networks to decipher the genetics underlying complex traits A Gumpinger ETH Zurich, 2020 | 2 | 2020 |
