| 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), 1-9, 2020 | 119 | 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 | 88 | 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 | 61 | 2021 |
| 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 | 16 | 2021 |
| sPLINK: a federated, privacy-preserving tool as a robust alternative to meta-analysis in genome-wide association studies R Nasirigerdeh, R Torkzadehmahani, J Matschinske, T Frisch, M List, ... BioRxiv, 2020 | 11 | 2020 |
| Privacy-preserving artificial intelligence techniques in biomedicine R Torkzadehmahani, R Nasirigerdeh, DB Blumenthal, T Kacprowski, ... Methods of Information in Medicine, 2022 | 9 | 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, ... | 6 | 2020 |
| HyFed: A hybrid federated framework for privacy-preserving machine learning R Nasirigerdeh, R Torkzadehmahani, J Matschinske, J Baumbach, ... arXiv preprint arXiv:2105.10545, 2021 | 5 | 2021 |
| 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 | 4 | 2020 |
| 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), 1-24, 2022 | 3 | 2022 |
| 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 | 3 | 2021 |
| 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 | 2 | 2020 |
| Towards Query-Driven Data Minimization. PK Schwab, JO Matschinske, AM Wahl, K Meyer-Wegener LWDA, 335-338, 2018 | 2 | 2018 |
| Query-Driven Data Minimization with the DataEconomist. PK Schwab, JO Matschinske, AM Wahl, K Meyer-Wegener EDBT, 614-617, 2019 | 1 | 2019 |
| 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 | | 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), 1-26, 2021 | | 2021 |
| Flimma: a federated and privacy-aware tool for differential gene expression analysis J Matschinske, M List, G Kaissis, DB Blumenthal, D Rückert, ... Genome Biology, 2021 | | 2021 |
| dsMTL-a computational framework for privacy-preserving, distributed multi-task machine learning H Cao, Y Zhang, J Baumbach, PR Burton, D Dwyer, N Koutsouleris, ... bioRxiv, 2021 | | 2021 |
