Author

Tino Ebbers

Linköping UniversityORCID 0000-0003-1395-8296Unclaimed ORCID profile · follow to get notified of new preprints

Biology Disciplines

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Systems Biology· 2 Genetic & Genomic Medicine· 1

Signature Assays, Organisms & Methods

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Organism:human· 3 Approach:statistical model· 3 Research Focus:benchmarking· 2 Assay:bulk RNA-seq· 1 Research Focus:fine-mapping· 1 Assay:GWAS summary statistics· 1 Assay:imaging· 1

Frequent Co-Authors

Gunnar CedersundiD· 2 shared Kajsa TunedaliD· 2 shared Anders GummessoniD· 1 shared Belén CasasiD· 1 shared Carl‐Johan CarlhälliD· 1 shared Clemens WittenbecheriD· 1 shared Federica ViolaiD· 1 shared Göran BergströmiD· 1 shared

Activity by Year

2025-2026 · peak 2/yr

Co-Author Collaboration Network

10 top collaborators · 20 mutual co-author links

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2 shared papersSystems Biology

Gunnar CedersundORCID

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3 papers

Recent·Most cited

Genetic & Genomic MedicinemedRxivPreprintOct 11, 2026

Decomposing polygenic risk of coronary artery disease into distinct biological processes

Jakub Morze, Kirk Smith, Marcin Kierczak…·Clemens Wittenbecher

The paper decomposes polygenic risk of coronary artery disease into distinct biological processes using latent factor decomposition of genetic variants.

DOI 10.64898/2026.10.08.26365088

humanGWAS summary statistics

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Systems BiologyComputers in Biology and MedicinePeer-reviewedFeb 22, 2025

Uncertainty in cardiovascular digital twins despite non-normal errors in 4D flow MRI: identifying reliable biomarkers such as ventricular relaxation rate

Kajsa Tunedal, Tino Ebbers, Gunnar Cedersund

This paper introduces a method to calculate uncertainty in model-derived biomarkers from non-normal hemodynamic data, identifying reliable biomarkers like ventricular relaxation rate.

9 citationstop 3%

humanbulk RNA-seq

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Systems BiologyScientific ReportsPeer-reviewedJan 8, 2025

Reproducibility of 4D Flow MRI-based Personalized Cardiovascular Models; Inter-sequence, Intra-observer, and Inter-observer variability

Belén Casas, Kajsa Tunedal, Federica Viola…·Tino Ebbers

The paper assesses the reproducibility of cardiovascular model parameters derived from 4D Flow MRI and cuff pressure measurements, finding variability ranges between 2.5% and 41% across different conditions.

4 citations

humanimaging

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