Author

Tobias Graf

Berlin Institute of Health at Charité - Universitätsmedizin Berlin

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:cell type annotation· 1 Organism:mouse· 1 Assay:spatial transcriptomics· 1 Approach:statistical model· 1

Frequent Co-Authors

Bosiljka TasiciD· 1 shared Brian LongiD· 1 shared Emma J. Garren· 1 shared Jeongbin ParkiD· 1 shared Lars E. BormiD· 1 shared Matthias SchlesneriD· 1 shared Naveed IshaqueiD· 1 shared Oliver StegleiD· 1 shared

Activity by Year

2021-2021 · peak 1/yr

Co-Author Collaboration Network

10 top collaborators · 45 mutual co-author links

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1 shared paperBioinformatics

Bosiljka TasicORCID

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1 paper

Recent·Most cited

Cell segmentation-free inference of cell types from in situ transcriptomics data

Jeongbin Park, Wonyl Choi, Sebastian Tiesmeyer, Brian Long, Lars E. Borm, Emma J. Garren, Thuc Nghi Nguyen, Bosiljka Tasic, Simone Codeluppi, Tobias Graf, Matthias Schlesner, Oliver Stegle, Roland Eils, Naveed Ishaque

This paper introduces SSAM, a cell segmentation-free method for cell-type identification and tissue domain detection in in situ transcriptomics data, showing it detects known and discovers new cell types in mouse brain tissues.

Nature Communications · Jun 10, 2021Peer-reviewedBioinformatics