Julian Matschinske
Julian Matschinske
Verified email at tum.de
Title
Cited by
Cited by
Year
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
542020
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
172021
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
32020
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
22021
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
22020
Towards Query-Driven Data Minimization.
PK Schwab, JO Matschinske, AM Wahl, K Meyer-Wegener
LWDA, 335-338, 2018
22018
Query-Driven Data Minimization with the DataEconomist.
PK Schwab, JO Matschinske, AM Wahl, K Meyer-Wegener
EDBT, 614-617, 2019
12019
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
2020
Privacy-preserving Artificial Intelligence Techniques in Biomedicine
R Torkzadehmahani, R Nasirigerdeh, DB Blumenthal, T Kacprowski, ...
arXiv preprint arXiv:2007.11621, 2020
2020
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