Author

Michaela Feuring‐Buske

University Hospital UlmORCID 0000-0002-3986-6691Unclaimed 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:cell type annotation· 1 Assay:CITE-seq· 1 Research Focus:clustering· 1 Research Focus:dimensionality reduction· 1 Organism:human· 1 Approach:machine learning (classical)· 1 Assay:scATAC-seq· 1

Frequent Co-Authors

Afzal P SyediD· 1 shared Anja Baumann· 1 shared Ezgi SeniD· 1 shared Hartmut DöhneriD· 1 shared Isabelle SeufertiD· 1 shared Jan‐Philipp MallmiD· 1 shared Karsten RippeiD· 1 shared Konstanze DöhneriD· 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 paperBioinformatics

Afzal P SyedORCID

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1 paper

Recent·Most cited

Disagreement between demultiplexing methods reveals structured cell quality gradients in multiplexed single-cell data

Ezgi Sen, Simon Steiger, Mislav Bašić, Nina Prokoph, Afzal P Syed, Isabelle Seufert, Usama‐Ur Rehman, Sabrina Schumacher, Anja Baumann, Michaela Feuring‐Buske, Niels Weinhold, Michael Lübbert, Hartmut Döhner, Konstanze Döhner, Marc Steffen Raab, , Karsten Rippe

This paper introduces Split-flow, a pipeline that uses concordance between demultiplexing methods to classify cell quality in multiplexed single-cell data, revealing structured quality gradients.

bioRxiv · May 13, 2026 · PreprintBioinformatics