| Stabilization of active matter by flow-vortex lattices and defect ordering A Doostmohammadi, MF Adamer, SP Thampi, JM Yeomans Nature communications 7 (1), 10557, 2016 | 203 | 2016 |
| reComBat: batch-effect removal in large-scale multi-source gene-expression data integration MF Adamer, SC Brüningk, A Tejada-Arranz, F Estermann, M Basler, ... Bioinformatics Advances 2 (1), vbac071, 2022 | 14 | 2022 |
| Complexity of model testing for dynamical systems with toric steady states MF Adamer, M Helmer Advances in Applied Mathematics 110, 42-75, 2019 | 12 | 2019 |
| Coloured noise from stochastic inflows in reaction–diffusion systems MF Adamer, HA Harrington, EA Gaffney, TE Woolley Bulletin of Mathematical Biology 82, 1-28, 2020 | 11 | 2020 |
| The magnitude vector of images MF Adamer, E De Brouwer, L O’Bray, B Rieck Journal of Applied and Computational Topology 8 (3), 447-473, 2024 | 8 | 2024 |
| Algebraic analysis of rotation data MF Adamer, AC Lőrincz, AL Sattelberger, B Sturmfels Algebraic Statistics 11 (2), 189-211, 2020 | 8 | 2020 |
| Families of toric chemical reaction networks MF Adamer, M Helmer Journal of Mathematical Chemistry 58 (9), 2061-2093, 2020 | 6 | 2020 |
| Graph-facilitated resonant mode counting in stochastic interaction networks MF Adamer, TE Woolley, HA Harrington Journal of The Royal Society Interface 14 (137), 20170447, 2017 | 4 | 2017 |
| Wet to dry crossover and a flow vortex-lattice in active nematics A Doostmohammadi, M Adamer, SP Thampi, JM Yeomans arXiv preprint arXiv 1505, 2015 | 4 | 2015 |
| Biomarker identification by interpretable maximum mean discrepancy MF Adamer, SC Brüningk, D Chen, K Borgwardt Bioinformatics 40 (Supplement_1), i501-i510, 2024 | 2 | 2024 |
| Algebraic study of receptor-ligand systems: a dose-response analysis L Sta, MF Adamer, C Molina-París SIAM Journal on Applied Mathematics, S105-S150, 2023 | 2 | 2023 |
| Tuning of cytokine signaling through imbalanced abundances of receptors and kinases L Sta, G Voisinne, J Cotari, MF Adamer, C Molina-París, G Altan-Bonnet bioRxiv, 2022.10. 07.511173, 2022 | 2 | 2022 |
| Genetic prediction of quantitative traits: a machine learner's guide focused on height L Bourguignon, C Weis, CR Jutzeler, M Adamer arXiv preprint arXiv:2310.04028, 2023 | 1 | 2023 |
| Euclidean distance degree for chemical reaction networks MF Adamer, M Helmer arXiv preprint arXiv:1707.07650, 2017 | 1 | 2017 |
| Bacterial protein function prediction via multimodal deep learning G Muzio, M Adamer, L Fernandez, K Borgwardt, K Avican bioRxiv, 2024.10. 30.621035, 2024 | | 2024 |
| SIMBSIG: similarity search and clustering for biobank-scale data MF Adamer, E Roellin, L Bourguignon, K Borgwardt Bioinformatics 39 (1), btac829, 2023 | | 2023 |
| reComBat: Batch effect removal in large-scale, multi-source omics data integration MF Adamer, S Brüningk, A Tejada-Arranz, F Estermann, M Basler, ... bioRxiv, 2021 | | 2021 |
| Steady State Invariants and Multistationarity for Families of Toric Reaction Networks MF Adamer, M Helmer arXiv preprint arXiv:1906.03931, 2019 | | 2019 |
| Algebraic methods for chemical reaction networks with extrinsic noise MF Adamer University of Oxford, 2019 | | 2019 |
