Author

Victoria T. Karlsen

Oslo University HospitalORCID 0000-0003-0991-5058Unclaimed ORCID profile · follow to get notified of new preprints

Biology Disciplines

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Bioinformatics· 2 Cancer Biology· 1

Signature Assays, Organisms & Methods

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Research Focus:cell type annotation· 2 Assay:scRNA-seq· 2 Assay:spatial transcriptomics· 2 Approach:statistical model· 2 Research Focus:cell-cell communication· 1 Research Focus:differential expression· 1 Approach:experimental assay· 1 Organism:human· 1

Frequent Co-Authors

Diana DomańskaiD· 3 shared Espen S. BækkevoldiD· 3 shared Frode Lars JahnseniD· 3 shared Sinan U. UmuiD· 3 shared Karoline Rapp Vander-ElstiD· 2 shared Ann-Christin Røberg BeitnesiD· 1 shared Håvard T. LindholmiD· 1 shared Hogne Røed Nilsen· 1 shared

Activity by Year

2022-2025 · peak 2/yr

Co-Author Collaboration Network

10 top collaborators · 41 mutual co-author links

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3 shared papersBioinformatics

Diana DomańskaORCID

Mutual co-authors in cluster

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3 papers

Recent·Most cited

BioinformaticsbioRxivPreprintApr 8, 2025

Easydecon: Efficient Cell Type Mapping for High-Definition Spatial Transcriptomic Data

Sinan U. Umu, Victoria T. Karlsen, Espen S. Bækkevold…·Diana Domańska

Easydecon efficiently maps cell types to high-definition spatial transcriptomic data by combining hotspot detection and similarity-based refinement.

1 citation

spatial transcriptomicsstatistical model

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Cancer BiologybioRxivPreprintMar 31, 2025

Single cell spatial transcriptomics identifies coordinated cellular programs associated with good prognosis in microsatellite stable colorectal cancer

Victoria T. Karlsen, Umair Majid, Håvard T. Lindholm…·Frode Lars Jahnsen

The paper uses single-cell spatial transcriptomics to identify coordinated cellular programs in MSS colorectal cancer that correlate with prognosis.

1 citation

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BioinformaticsGigaSciencePeer-reviewedDec 28, 2022

cellsnake: a user-friendly tool for single-cell RNA sequencing analysis

Sinan U. Umu, Karoline Rapp Vander-Elst, Victoria T. Karlsen…·Diana Domańska

Cellsnake provides a user-friendly, reproducible workflow for scRNA-seq analysis, addressing installation and learning curve issues for non-expert users.

11 citations

scRNA-seqsoftware / tool

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