Author

Vincent D. Friedrich

Center for Scalable Data Analytics and Artificial IntelligenceORCID 0000-0002-5997-4913Unclaimed ORCID profile · follow to get notified of new preprints

Biology Disciplines

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Immunology· 2

Signature Assays, Organisms & Methods

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Research Focus:cell type annotation· 2 Approach:deep learning· 2 Research Focus:cell-cell communication· 1 Research Focus:clustering· 1 Research Focus:differential expression· 1 Assay:flow cytometry· 1 Organism:human· 1 Approach:machine learning (classical)· 1

Frequent Co-Authors

Markus R. ScholziD· 2 shared Aleksej FroloviD· 1 shared Antoine‐Emmanuel SalibaiD· 1 shared Caterina CarraroiD· 1 shared Celia L. Hartmann· 1 shared Cengiz GoekeriiD· 1 shared Christine GoffinetiD· 1 shared Dagmar WachteniD· 1 shared

Activity by Year

2024-2026 · peak 1/yr

Co-Author Collaboration Network

10 top collaborators · 25 mutual co-author links

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2 shared papersImmunology

Markus R. ScholzORCID

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2 papers

Recent·Most cited

ImmunologyNature CommunicationsPeer-reviewedSep 18, 2026

ConvexGating infers gating strategies from clusters in single cell cytometry data

Vincent D. Friedrich, Karola Mai, Thomas P. J. Hofer…·Maren Büttner

ConvexGating automatically learns unbiased, interpretable gating strategies for flow cytometry data, improving consistency and reducing contamination in cell population identification.

1 citation

flow cytometrydeep learning

𝕏 PostBluesky

ImmunologyEBioMedicinePeer-reviewedSep 23, 2024

Neural Network-Assisted Humanization of COVID-19 Hamster scRNAseq Data Reveals Matching Severity States in Human Disease

Vincent D. Friedrich, Peter Pennitz, Emanuel Wyler…·Geraldine Nouailles

This paper uses neural networks to match disease states between human and hamster COVID-19 scRNAseq data, finding similar cellular responses in specific cell types across species.

8 citations

humanmouse

𝕏 PostBluesky