Author

Mads Haugland Haugen

Oslo University HospitalORCID 0000-0002-7143-2594Unclaimed ORCID profile · follow to get notified of new preprints

Biology Disciplines

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Signature Assays, Organisms & Methods

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Organism:human· 3 Assay:bulk RNA-seq· 2 Research Focus:cell-cell communication· 2 Research Focus:differential expression· 2 Approach:machine learning (classical)· 2 Assay:scRNA-seq· 2 Assay:spatial transcriptomics· 2 Research Focus:cell type annotation· 1

Frequent Co-Authors

Alvaro Köhn‐LuqueiD· 2 shared Arnoldo FrigessiiD· 2 shared Eivind Valen EgelandiD· 2 shared Gordon Brent MillsiD· 2 shared Olav EngebraateniD· 2 shared Youness AzimzadeiD· 2 shared Allison CreasoniD· 1 shared Cameron WatsoniD· 1 shared

Activity by Year

2023-2025 · peak 1/yr

Co-Author Collaboration Network

10 top collaborators · 35 mutual co-author links

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2 shared papersBioinformatics

Alvaro Köhn‐LuqueORCID

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3 papers

Recent·Most cited

Cancer BiologybioRxivPreprintOct 9, 2025

Spatial organization of the tumor-immune microenvironment in ER-positive breast cancer: remodeling during treatment and associations with clinical response

Maria Aanesland Dahle, Jan-Lukas Førde, Eivind Valen Egeland…·Mads Haugland Haugen

This study examines how the spatial organization of the tumor-immune microenvironment changes during treatment in ER-positive breast cancer and links these changes to clinical response.

DOI 10.1101/2025.10.09.681336

humanbulk RNA-seq

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BioinformaticsbioRxivPreprintNov 9, 2024

Integrated multiomics analysis unveils how macrophages drive immune suppression in breast tumors and affect clinical outcomes

Youness Azimzade, Mads Haugland Haugen, Vessela Nedelcheva Kristensen…·Alvaro Köhn‐Luque

The paper uses multi-omics analysis to show macrophages in breast tumors correlate with better treatment response but worse survival, driven by immune suppression mechanisms.

2 citations

humanbulk RNA-seq

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BioinformaticsbioRxivPreprintSep 7, 2023

Explainable Machine Learning Reveals the Role of the Breast Tumor Microenvironment in Neoadjuvant Chemotherapy Outcome

Youness Azimzade, Mads Haugland Haugen, Xavier Tekpli…·Alvaro Köhn‐Luque

The paper uses scRNA-seq and explainable machine learning to analyze how tumor microenvironment cell types affect neoadjuvant chemotherapy outcomes in breast cancer.

4 citations

humanscRNA-seq

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