Author

Stein‐Erik Gullaksen

Haukeland University HospitalORCID 0000-0002-8512-9297Unclaimed ORCID profile · follow to get notified of new preprints

Biology Disciplines

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Research Focus:cell type annotation· 2 Research Focus:differential expression· 2 Research Focus:drug response / drug discovery· 2 Organism:human· 2 Assay:bulk RNA-seq· 1 Approach:experimental assay· 1 Assay:flow cytometry· 1 Approach:machine learning (classical)· 1

Frequent Co-Authors

Bjørn Tore GjertseniD· 2 shared Monica HellesøyiD· 2 shared Andrea LenartovaiD· 1 shared Benedicte Sjo TislevolliD· 1 shared Dimitrios KleftogiannisiD· 1 shared Dominik Georg Friedrich WolfiD· 1 shared Emmanuel GriessingeriD· 1 shared Erin Craig· 1 shared

Activity by Year

2024-2025 · peak 1/yr

Co-Author Collaboration Network

10 top collaborators · 30 mutual co-author links

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2 shared papersCancer Biology

Bjørn Tore GjertsenORCID

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2 papers

Recent·Most cited

Cancer BiologybioRxivPreprintNov 10, 2025

Deep single-cell immune and signaling profiles predict long term therapy response in chronic myeloid leukemia within hours

Stein‐Erik Gullaksen, Mathias Brevik, Øystein Sefland…·Bjørn Tore Gjertsen

The paper uses mass cytometry to analyze immune and signaling profiles in CML patients within hours of TKI treatment to predict 12-month treatment response.

DOI 10.1101/2025.11.10.687542

humanflow cytometry

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BioinformaticsiSciencePeer-reviewedJun 12, 2024

Automated cell type annotation and exploration of single-cell signalling dynamics using mass cytometry

Dimitrios Kleftogiannis, Sonia Gavasso, Benedicte Sjo Tislevoll…·Inge Jonassen

This paper introduces a bioinformatics framework for automated cell type annotation and patient stratification using CyTOF data, showing improved sensitivity and specificity and predictive survival analysis in leukemia.

1 citation

humanbulk RNA-seq

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