Author

Per-Olof Attinger

F. Hoffmann-La Roche AG

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· 2

Signature Assays, Organisms & Methods

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Organism:human· 2 Assay:scRNA-seq· 2 Approach:statistical model· 2 Research Focus:batch correction / integration· 1 Research Focus:cell type annotation· 1 Assay:CITE-seq· 1

Frequent Co-Authors

Abdullah KahramaniD· 2 shared Alva Rani JamesiD· 2 shared André Fedier· 2 shared André KahlesiD· 2 shared Andrea Jacobs· 2 shared Anja IrmischiD· 2 shared Anne BertoliniiD· 2 shared Beatrice Beck‐SchimmeriD· 2 shared

Activity by Year

2020-2022 · peak 1/yr

Co-Author Collaboration Network

10 top collaborators · 45 mutual co-author links

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2 shared papersBioinformatics

Abdullah KahramanORCID

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2 papers

Recent·Most cited

scROSHI - robust supervised hierarchical identification of single cells

Michael Prummer, Anne Bertolini, Lars Bosshard, Florian Barkmann, Josephine Yates, Valentina Boeva, Ruedi H. Aebersold, Melike Ak, Faisal Alquaddoomi, Jonas B. Albinus, Ilaria Alborelli, Sonali Andani, Per-Olof Attinger, Marina Bacac, Daniel Baumhoer, , Berend Snijder

scROSHI identifies cell types without training data by using pre-existing gene sets and hierarchical relationships, outperforming methods in low-data and high-diversity scenarios.

NAR Genomics and Bioinformatics · Jun 1, 2022Peer-reviewedBioinformatics

SCIM: Universal Single-Cell Matching with Unpaired Feature Sets

Stefan G. Stark, Joanna Ficek, Francesco Locatello, Ximena Bonilla, Stéphane Chevrier, Franziska Singer, Ruedi H. Aebersold, Faisal Alquaddoomi, Jonas B. Albinus, Ilaria Alborelli, Sonali Andani, Per-Olof Attinger, Marina Bacac, Daniel Baumhoer, Beatrice Beck‐Schimmer, , Vipin T. Sreedharan

SCIM matches single-cell measurements across technologies by learning a technology-invariant latent space and applying bipartite matching, achieving high accuracy in real-world datasets.

Bioinformatics · Sep 14, 2020Peer-reviewedBioinformatics