Author

Lucas Plagwitz

University of MünsterORCID 0000-0001-7626-8853Unclaimed ORCID profile · follow to get notified of new preprints

Biology Disciplines

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Bioinformatics· 1 Neuroscience· 1

Signature Assays, Organisms & Methods

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Research Focus:benchmarking· 1 Assay:ChIP-seq· 1 Research Focus:clustering· 1 Assay:imaging· 1 Approach:machine learning (classical)· 1 Approach:statistical model· 1

Frequent Co-Authors

Bruno PradieriD· 1 shared Carolin WalteriD· 1 shared Cornelius FaberiD· 1 shared Daniel SegelckeiD· 1 shared Dominik HeideriD· 1 shared Esther Miriam Pogatzki-ZahniD· 1 shared Gero HeidtmanniD· 1 shared Jonas DixiD· 1 shared

Activity by Year

2023-2026 · peak 1/yr

Co-Author Collaboration Network

10 top collaborators · 21 mutual co-author links

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1 shared paperNeuroscience

Bruno PradierORCID

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2 papers

Recent·Most cited

BioinformaticsBioData MiningPeer-reviewedAug 12, 2026

fourSynergy: Ensemble-based interaction calling on 4C-seq data using gradient-free optimization

Sophie-Marie Wind, Lucas Plagwitz, Jonas Dix…·Carolin Walter

fourSynergy combines multiple 4C-seq tools using gradient-free optimization to improve interaction calling performance across datasets.

DOI 10.1186/s13040-026-00596-4

ChIP-seqstatistical model

𝕏 PostBluesky

NeurosciencebioRxivPreprintAug 1, 2023

Data-driven signal analysis of sensory cortical processing using high-resolution fMRI across different studies

Lucas Plagwitz, Sangcheon Choi, Xin Yu…·Bruno Pradier

This paper develops a data-driven method for analyzing fMRI data across studies, revealing consistent patterns in BOLD time series and demonstrating its generalizability and robustness.

2 citations

imagingmachine learning (classical)

𝕏 PostBluesky