| SpaGE: Spatial Gene Enhancement using scRNA-seq T Abdelaal, S Mourragui, A Mahfouz, M Reinders Nucleic Acids Research 48 ((18)), e107, 2020 | 124 | 2020 |
| Few-shot learning creates predictive models of drug response that translate from high-throughput screens to individual patients J Ma, SH Fong, Y Luo, CJ Bakkenist, JP Shen, S Mourragui, LFA Wessels, ... Nature Cancer 2 (2), 233-244, 2021 | 117 | 2021 |
| PRECISE: A domain adaptation approach to transfer predictors of drug response from pre-clinical models to tumors S Mourragui, M Loog, MA van de Wiel, MJT Reinders, LFA Wessels Bioinformatics (ISMB) 35 (14), i510-i519, 2019 | 67 | 2019 |
| Predicting patient response with models trained on cell lines and patient-derived xenografts by nonlinear transfer learning SMC Mourragui, M Loog, DJ Vis, K Moore, AG Manjon, MA van de Wiel, ... Proceedings of the National Academy of Sciences 118 (49), 2021 | 34* | 2021 |
| Paradoxical activation of oncogenic signaling as a cancer treatment strategy MH Dias, A Friskes, S Wang, JM Fernandes Neto, F van Gemert, ... Cancer Discovery, OF1-OF26, 2024 | 10 | 2024 |
| Percolate: an exponential family JIVE model to design DNA-based predictors of drug response SMC Mourragui, M Loog, M van Nee, MA van de Wiel, MJT Reinders, ... International Conference on Research in Computational Molecular Biology (RECOMB), 2023 | 2 | 2023 |
| Identifying commonalities between cell lines and tumors at the single cell level using Sobolev Alignment of deep generative models SMC Mourragui, JC Siefert, MJT Reinders, M Loog, L Wessels bioRxiv, 2022.03. 08.483431, 2022 | 1 | 2022 |
| Computational models for clinical drug response prediction: aligning transcriptomic data of patients and pre-clinical models SMC Mourragui Delft University of Technology, 2023 | | 2023 |
Marcel ReindersProfessor of Computer Science, Delft University of Technology在 tudelft.nl 的电子邮件经过验证
