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Julian Matschinske
Julian Matschinske
Geverifieerd e-mailadres voor uni-hamburg.de
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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
1622020
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
1422021
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
1052021
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
442021
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
372022
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
282022
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
222022
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, 2020.06. 05.136382, 2020
172020
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
122021
Hyfed: A hybrid federated framework for privacy-preserving machine learning
R Nasirigerdeh, R Torkzadehmahani, J Matschinske, J Baumbach, ...
arXiv preprint arXiv:2105.10545, 2021
112021
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
82020
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
72021
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, ...
72020
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
62022
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
62022
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
62022
Towards Query-Driven Data Minimization.
PK Schwab, JO Matschinske, AM Wahl, K Meyer-Wegener
LWDA, 335-338, 2018
52018
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, ...
Arxiv, 2023
42023
The FeatureCloud platform for federated learning in biomedicine: unified approach
J Matschinske, J Späth, M Bakhtiari, N Probul, MMK Majdabadi, ...
Journal of Medical Internet Research 25 (1), e42621, 2023
42023
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
32020
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Artikelen 1–20