| Exploring the SARS-CoV-2 virus-host-drug interactome for drug repurposing S Sadegh, J Matschinske, DB Blumenthal, G Galindez, T Kacprowski, ... Nature communications 11 (1), 3518, 2020 | 174 | 2020 |
| Computational strategies to combat COVID-19: useful tools to accelerate SARS-CoV-2 and coronavirus research F Hufsky, K Lamkiewicz, A Almeida, A Aouacheria, C Arighi, A Bateman, ... Briefings in bioinformatics 22 (2), 642-663, 2021 | 154 | 2021 |
| Lessons from the COVID-19 pandemic for advancing computational drug repurposing strategies G Galindez, J Matschinske, TD Rose, S Sadegh, M Salgado-Albarrán, ... Nature Computational Science 1 (1), 33-41, 2021 | 114 | 2021 |
| Privacy-preserving artificial intelligence techniques in biomedicine R Torkzadehmahani, R Nasirigerdeh, DB Blumenthal, T Kacprowski, ... Methods of information in medicine 61 (S 01), e12-e27, 2022 | 71 | 2022 |
| Federated Random Forests can improve local performance of predictive models for various healthcare applications AC Hauschild, M Lemanczyk, J Matschinske, T Frisch, O Zolotareva, ... Bioinformatics 38 (8), 2278-2286, 2022 | 62 | 2022 |
| The AIMe registry for artificial intelligence in biomedical research J Matschinske, N Alcaraz, A Benis, M Golebiewski, DG Grimm, L Heumos, ... Nature methods 18 (10), 1128-1131, 2021 | 53 | 2021 |
| sPLINK: a hybrid federated tool as a robust alternative to meta-analysis in genome-wide association studies R Nasirigerdeh, R Torkzadehmahani, J Matschinske, T Frisch, M List, ... Genome Biology 23 (1), 32, 2022 | 49 | 2022 |
| Flimma: a federated and privacy-aware tool for differential gene expression analysis O Zolotareva, R Nasirigerdeh, J Matschinske, R Torkzadehmahani, ... Genome biology 22 (1), 338, 2021 | 22 | 2021 |
| The FeatureCloud platform for federated learning in biomedicine: unified approach J Matschinske, J Späth, M Bakhtiari, N Probul, MM Kazemi Majdabadi, ... Journal of Medical Internet Research 25, e42621, 2023 | 17 | 2023 |
| Hyfed: A hybrid federated framework for privacy-preserving machine learning R Nasirigerdeh, R Torkzadehmahani, J Matschinske, J Baumbach, ... arXiv preprint arXiv:2105.10545, 2021 | 14 | 2021 |
| Privacy-aware multi-institutional time-to-event studies J Späth, J Matschinske, FK Kamanu, SA Murphy, O Zolotareva, ... PLOS Digital Health 1 (9), e0000101, 2022 | 12 | 2022 |
| Drugst. One—a plug-and-play solution for online systems medicine and network-based drug repurposing A Maier, M Hartung, M Abovsky, K Adamowicz, GD Bader, S Baier, ... Nucleic Acids Research, gkae388, 2024 | 11 | 2024 |
| The featurecloud ai store for federated learning in biomedicine and beyond J Matschinske, J Späth, R Nasirigerdeh, R Torkzadehmahani, ... arXiv preprint arXiv:2105.05734, 2021 | 9 | 2021 |
| Drugst A Maier, M Hartung, M Abovsky, K Adamowicz, GD Bader, S Baier, ... One–A plug-and-play solution for online systems medicine and network-based …, 2023 | 8 | 2023 |
| Individuating possibly repurposable drugs and drug targets for COVID-19 treatment through hypothesis-driven systems medicine using CoVex J Matschinske, M Salgado-Albarrán, S Sadegh, D Bongiovanni, ... Assay and drug development technologies 18 (8), 348-355, 2020 | 8 | 2020 |
| Federated machine learning for a facilitated implementation of Artificial Intelligence in healthcare–a proof of concept study for the prediction of coronary artery … J Wolff, J Matschinske, D Baumgart, A Pytlik, A Keck, A Natarajan, ... Journal of Integrative Bioinformatics 19 (4), 20220032, 2022 | 7 | 2022 |
| dsMTL: a computational framework for privacy-preserving, distributed multi-task machine learning H Cao, Y Zhang, J Baumbach, PR Burton, D Dwyer, N Koutsouleris, ... Bioinformatics 38 (21), 4919-4926, 2022 | 7 | 2022 |
| Exploring the SARS-CoV-2 virus-host-drug interactome for drug repurposing. Nat Commun 11: 3518 S Sadegh, J Matschinske, DB Blumenthal, G Galindez, T Kacprowski, ... | 7 | 2020 |
| Towards Query-Driven Data Minimization. PK Schwab, JO Matschinske, AM Wahl, K Meyer-Wegener LWDA, 335-338, 2018 | 5 | 2018 |
| Flimma: a federated and privacy-preserving tool for differential gene expression analysis O Zolotareva, R Nasirigerdeh, J Matschinske, R Torkzadehmahani, ... arXiv preprint arXiv:2010.16403, 2020 | 3 | 2020 |
Jan BaumbachInstitute for Computational Systems Biology, University of HamburgVerified email at cosy.bio
