Author

Sophie Merit Müller

University of BonnORCID 0000-0002-9885-4850Unclaimed ORCID profile · follow to get notified of new preprints

Biology Disciplines

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Signature Assays, Organisms & Methods

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Research Focus:benchmarking· 1 Research Focus:clustering· 1 Research Focus:dimensionality reduction· 1 Approach:machine learning (classical)· 1 Research Focus:software / tool· 1

Frequent Co-Authors

Aleksej Frolov· 1 shared Anna C. AschenbrenneriD· 1 shared Anna NeubaueriD· 1 shared Annika E. SpottkeiD· 1 shared Boris‐Stephan RauchmanniD· 1 shared Caterina CarraroiD· 1 shared Charlotte KrögeriD· 1 shared DELCODE Study Group· 1 shared

Activity by Year

2024-2024 · peak 1/yr

Co-Author Collaboration Network

10 top collaborators · 45 mutual co-author links

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1 shared paperBioinformatics

Aleksej Frolov

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1 paper

Recent·Most cited

Unveiling the Power of High-Dimensional Cytometry Data with cyCONDOR

Charlotte Kröger, Sophie Merit Müller, Jacqueline Leidner, Theresa Kröber, Stefanie Warnat‐Herresthal, Jannis Bastian Spintge, Timo Zajac, Anna Neubauer, Aleksej Frolov, Caterina Carraro, DELCODE Study Group, Silka Dawn Freiesleben, Slawek Altenstein, Boris‐Stephan Rauchmann, Ingo Kilimann, , Lorenzo Bonaguro

The paper introduces cyCONDOR, a computational framework for high-dimensional cytometry data analysis, offering scalable and user-friendly tools for preprocessing, clustering, and downstream biological interpretation.

Nature Communications · Dec 19, 2024Peer-reviewedBioinformatics