Author

Thomas P. J. Hofer

Helmholtz MunichORCID 0000-0002-9713-3138Unclaimed 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:cell type annotation· 1 Research Focus:cell-cell communication· 1 Research Focus:clustering· 1 Approach:deep learning· 1 Assay:flow cytometry· 1 Approach:machine learning (classical)· 1

Frequent Co-Authors

Aleksej FroloviD· 1 shared Caterina CarraroiD· 1 shared Celia L. Hartmann· 1 shared Dagmar WachteniD· 1 shared Dalila Juliana Silva RibeiroiD· 1 shared Doaa HamadaiD· 1 shared Elfriede Nößner· 1 shared Fabian Joachim TheisiD· 1 shared

Activity by Year

2026-2026 · peak 1/yr

Co-Author Collaboration Network

10 top collaborators · 45 mutual co-author links

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1 shared paperImmunology

Aleksej FrolovORCID

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1 paper

Recent·Most cited

ConvexGating infers gating strategies from clusters in single cell cytometry data

Vincent D. Friedrich, Karola Mai, Thomas P. J. Hofer, Elfriede Nößner, Lorenzo Bonaguro, Celia L. Hartmann, Aleksej Frolov, Caterina Carraro, Doaa Hamada, Mehrnoush Hadaddzadeh Shakiba, Heidi Theis, Dalila Juliana Silva Ribeiro, Dagmar Wachten, FT Wunderlich, Markus R. Scholz, , Maren Büttner

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

Nature Communications · Sep 18, 2026Peer-reviewedImmunology