Author

Gabriele Greve

University of Freiburg

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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Assay:bulk RNA-seq· 1 Research Focus:cell type annotation· 1 Organism:human· 1 Approach:large language model· 1 Approach:machine learning (classical)· 1 Organism:mouse· 1 Assay:scRNA-seq· 1 Approach:statistical model· 1

Frequent Co-Authors

Anna KöttgeniD· 1 shared Bayram EdemiriD· 1 shared Frank HutteriD· 1 shared Hyun Jun JungiD· 1 shared Lukas WestermanniD· 1 shared Michael KöttgeniD· 1 shared Mona Schoberth· 1 shared Oleg BorisoviD· 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

Anna KöttgenORCID

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1 paper

Recent·Most cited

Transcriptome-based cell type assignment for kidney cell culture models

Mona Schoberth, Samuel Böhm, Oleg Borisov, Yong Li, Gabriele Greve, Bayram Edemir, Owen M. Woodward, Hyun Jun Jung, Frank Hutter, Lukas Westermann, Anna Köttgen, Pascal Schlosser, Michael Köttgen, Stefan Haug

The paper develops a transcriptome-based method to match bulk RNA-seq data from kidney cell lines to single-cell reference datasets, identifying accurate cell type identities and evaluating method performance.

bioRxiv · Apr 1, 2026 · PreprintBioinformatics