Author

Julian Späth

Observed names: Julian Spaeth, Späth, Julian

Observed institutions: Brigham and Women's Hospital, Harvard University, Universität Hamburg, Technical University of Munich

ORCID: 0000-0003-4562-5816

Observed ORCID: 0000-0003-4562-5816

OpenAlex ID: A5084963323

Exploring the SARS-CoV-2 virus-host-drug interactome for drug repurposing

2020 · Sepideh Sadegh, Julian Matschinske, et al. · RePEc: Research Papers in Economics · 174

Exploring the SARS-CoV-2 virus-host-drug interactome for drug repurposing

2020 · Sepideh Sadegh, Julian Matschinske, et al. · Nature Communications · 167

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Lessons from the COVID-19 pandemic for advancing computational drug repurposing strategies

2021 · Gihanna Galindez, Julian Matschinske, et al. · Nature Computational Science · 121

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Privacy-Preserving Artificial Intelligence Techniques in Biomedicine

2022 · Reihaneh Torkzadehmahani, Reza Nasirigerdeh, et al. · Methods of Information in Medicine · 111

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sPLINK: a hybrid federated tool as a robust alternative to meta-analysis in genome-wide association studies

2022 · Reza Nasirigerdeh, Reihaneh Torkzadehmahani, et al. · Genome biology · 38

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The FeatureCloud Platform for Federated Learning in Biomedicine: Unified Approach

2023 · Julian Matschinske, Julian Späth, et al. · Journal of Medical Internet Research · 35

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Flimma: a federated and privacy-aware tool for differential gene expression analysis

2021 · Olga Zolotareva, Reza Nasirigerdeh, et al. · Genome biology · 28

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sPLINK: A Federated, Privacy-Preserving Tool as a Robust Alternative to Meta-Analysis in Genome-Wide Association Studies

2020 · Reza Nasirigerdeh, Reihaneh Torkzadehmahani, et al. · bioRxiv (Cold Spring Harbor Laboratory) · 22

CTCFL regulates the PI3K-Akt pathway and it is a target for personalized ovarian cancer therapy

2022 · Marisol Salgado-Albarrán, Julian Späth, et al. · npj Systems Biology and Applications · 12

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dsMTL: a computational framework for privacy-preserving, distributed multi-task machine learning

2022 · Han Cao, Youcheng Zhang, et al. · Bioinformatics · 10

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Privacy-aware multi-institutional time-to-event studies

2022 · Julian Späth, Julian Matschinske, et al. · PLOS Digital Health · 10

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Privacy-Preserving Federated Survival Support Vector Machines for Cross-Institutional Time-To-Event Analysis: Algorithm Development and Validation

2024 · Julian Späth, Zeno Sewald, et al. · JMIR AI · 9

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The FeatureCloud AI Store for Federated Learning in Biomedicine and Beyond

2021 · Matschinske, Julian, Späth, Julian, et al. · arXiv (Cornell University) · 6

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Privacy-preserving multicenter differential protein abundance analysis with FedProt

2025 · Yuliya Burankova, Miriam Abele, et al. · Nature Computational Science · 5

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Machine learning–based integration of network features and chemical structure of compounds for SARS‐CoV ‐2 drug effect analysis

2023 · Julian Späth, Rui‐Sheng Wang, et al. · CPT Pharmacometrics & Systems Pharmacology · 5

Flimma: a federated and privacy-preserving tool for differential gene expression analysis

2020 · Zolotareva, Olga, Nasirigerdeh, Reza, et al. · arXiv (Cornell University) · 2

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Targeting infectious diseases: The CoVex example

2022 · Sepideh Sadegh, Julian Matschinske, et al.

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Additional file 2 of Flimma: a federated and privacy-aware tool for differential gene expression analysis