Author

Elise Midtbust

Norwegian University of Science and TechnologyORCID 0009-0001-2794-7080Unclaimed ORCID profile · follow to get notified of new preprints

Biology Disciplines

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Cancer Biology· 2 Bioinformatics· 1

Signature Assays, Organisms & Methods

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Organism:human· 3 Approach:statistical model· 3 Research Focus:differential expression· 2 Research Focus:gene regulatory network inference· 2 Assay:metabolomics· 2 Assay:spatial transcriptomics· 2 Research Focus:batch correction / integration· 1 Assay:bulk RNA-seq· 1

Frequent Co-Authors

Maria K. AnderseniD· 3 shared May‐Britt TessemiD· 3 shared Abhibhav SharmaiD· 2 shared Maximilian WessiD· 2 shared Morten Beck RyeiD· 2 shared Øystein Størkersen· 2 shared Sebastian KrossaiD· 2 shared Trond Viset· 2 shared

Activity by Year

2024-2026 · peak 2/yr

Co-Author Collaboration Network

10 top collaborators · 43 mutual co-author links

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3 shared papersCancer Biology

Maria K. AndersenORCID

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3 papers

Recent·Most cited

Cancer BiologyBMC CancerPeer-reviewedJun 8, 2026

Integrated multi-omics profiling uncovers the epigenetic, transcriptional, and metabolic landscape of prostate cancer progression

Christine Aaserød Pedersen, Maximilian Wess, Maria K. Andersen…·May‐Britt Tessem

This study integrates DNA methylation, gene expression, and metabolic profiles to identify molecular pathways and signatures associated with aggressive prostate cancer and disease recurrence.

1 citation

humanDNA methylation

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Cancer BiologyNature CommunicationsPeer-reviewedNov 16, 2024

Immunosuppression in the prostate tumor microenvironment is tied to androgen deprivation therapy-resistant club-like cells

Antti Kiviaho, Sini K. Eerola, Heini M. L. Kallio…·Matti Nykter

The paper identifies club-like cells in the prostate tumor microenvironment that contribute to androgen deprivation therapy resistance through immune suppression.

104 citationstop 1%

humanscRNA-seq

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BioinformaticsbioRxivPreprintJun 11, 2024

Spatial Integration of Multi-Omics Data using the novel Multi-Omics Imaging Integration Toolset

Maximillian Wess, Maria K. Andersen, Elise Midtbust…·May‐Britt Tessem

The paper introduces MIIT, a toolset for integrating spatial multi-omics data, and validates its registration algorithm on serial tissue sections.

7 citations

humanspatial transcriptomics

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