Author

Alvaro Köhn‐Luque

Oslo University HospitalORCID 0000-0002-5192-5199Unclaimed 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· 6 Research Focus:cell type annotation· 4 Research Focus:differential expression· 4 Research Focus:cell-cell communication· 3 Assay:scRNA-seq· 3 Approach:statistical model· 3 Assay:bulk RNA-seq· 2 Approach:machine learning (classical)· 2

Frequent Co-Authors

Arnoldo FrigessiiD· 2 shared Hesso FarhaniD· 2 shared Mads Haugland HaugeniD· 2 shared Salim GhannoumiD· 2 shared Waldir Leoncio Netto· 2 shared Youness AzimzadeiD· 2 shared Ahmet AcariD· 1 shared Amirabbas Parizadeh· 1 shared

Activity by Year

2021-2026 · peak 2/yr

Co-Author Collaboration Network

10 top collaborators · 13 mutual co-author links

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2 shared papersBioinformatics

Arnoldo FrigessiORCID

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Author profile →

6 papers

Recent·Most cited

Targeting cancer-associated fibroblasts for treatment of ER+ breast cancer: A mathematical modeling perspective and optimization of treatment strategies

Tuğba Akman, Kristian Pietras, Alvaro Köhn‐Luque, Ahmet Acar

This paper uses mathematical modeling to show that targeting cancer-associated fibroblasts can improve treatment efficacy for ER+ breast cancer across different estrogen dosing regimens.

bioRxiv · Mar 30, 2026 · PreprintSystems Biology

SH2D2A is an indicator of favourable prognosis in bladder cancer and is enriched in Treg cells

Brian C. Gilmour, Johan Georg Visser, Alvaro Köhn‐Luque, Paweł Borowicz, Andreas Lossius, Anne Spurkland

The paper identifies SH2D2A as a favourable prognosis marker in bladder cancer, enriched in Treg cells, and suggests its role in immunotherapy targets.

bioRxiv · Jan 13, 2025 · PreprintBioinformatics

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

Youness Azimzade, Mads Haugland Haugen, Vessela Nedelcheva Kristensen, Arnoldo Frigessi, 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.

bioRxiv · Nov 9, 2024 · PreprintBioinformatics

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

Youness Azimzade, Mads Haugland Haugen, Xavier Tekpli, Chloé Beate Steen, Thomas Fleischer, David F. Kilburn, Hongli Ma, Eivind Valen Egeland, Gordon Brent Mills, Olav Engebraaten, Vessela Nedelcheva Kristensen, Arnoldo Frigessi, 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.

bioRxiv · Sep 7, 2023 · PreprintBioinformatics

CellMAPtracer: A user-friendly tracking tool for long-term migratory and proliferating cells

Salim Ghannoum, Kamil Antos, Waldir Leoncio Netto, Cecil J. Gomes, Alvaro Köhn‐Luque, Hesso Farhan

CellMAPtracer tracks migratory and proliferating cells with a user-friendly interface, enabling accurate long-term analysis of cell division and migration patterns.

Cells · Feb 22, 2021Peer-reviewedSystems Biology

DIscBIO: a user-friendly pipeline for biomarker discovery in single-cell transcriptomics

Salim Ghannoum, Waldir Leoncio Netto, Damiano Fantini, Benjamin Ragan-Kelley, Amirabbas Parizadeh, Emma Jonasson, Anders Ståhlberg, Hesso Farhan, Alvaro Köhn‐Luque

DIscBIO is an open-source R pipeline that simplifies scRNA-seq analysis by integrating multiple tools for biomarker discovery and differential analysis.

International Journal of Molecular Sciences · Jan 30, 2021Peer-reviewedBioinformatics