Author

Sebastian Schlede

University of Cologne

Listed by name: these papers carry no ORCID for this author, so different people with the same name may be mixed together.

Biology Disciplines

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Bioinformatics· 1

Signature Assays, Organisms & Methods

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Research Focus:benchmarking· 1 Assay:scRNA-seq· 1 Approach:transformer / foundation model· 1

Frequent Co-Authors

Änne SchmitziD· 1 shared Filippo BeleggiaiD· 1 shared Gülce S. Gülcüler BaltaiD· 1 shared Ilmars KisisiD· 1 shared Laura M. BuchwaldiD· 1 shared Maike BoeckeriD· 1 shared Maria Adele RuegeriD· 1 shared Max AnstötziD· 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

Änne SchmitzORCID

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1 paper

Recent·Most cited

Raw-count embeddings improve single-cell foundation models

Sebastian Schlede, Thulasi Priyadharshini Muruganandam, Santhosh Gojjam Kantharaju, Ilmars Kisis, Maike Boecker, Mira Kim Alves Carpinteiro, Änne Schmitz, Laura M. Buchwald, Vignesh Sakthivelu, Gülce S. Gülcüler Balta, Max Anstötz, Maria Adele Rueger, Roman Kurt Thomas, Filippo Beleggia

This study benchmarks preprocessing strategies for single-cell transformer models and finds that simple log-transformed counts outperform complex methods, leading to a more efficient foundation model.

bioRxiv · Jul 3, 2026 · PreprintBioinformatics