Author

Marius Gheorghe

University of OsloORCID 0000-0002-9666-0809Unclaimed ORCID profile · follow to get notified of new preprints

Biology Disciplines

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Signature Assays, Organisms & Methods

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Research Focus:differential expression· 3 Organism:human· 3 Approach:statistical model· 3 Research Focus:benchmarking· 2 Research Focus:gene regulatory network inference· 2 Assay:proteomics· 2 Research Focus:cell type annotation· 1 Assay:ChIP-seq· 1

Frequent Co-Authors

Anthony MathelieriD· 2 shared Brandon MaloneiD· 2 shared Geir Kjetil SandveiD· 2 shared Richard Stratford· 2 shared Trevor ClancyiD· 2 shared Alexandru OdainiciD· 1 shared Aziz KhaniD· 1 shared Benoît BallesteriD· 1 shared

Activity by Year

2018-2026 · peak 1/yr

Co-Author Collaboration Network

10 top collaborators · 19 mutual co-author links

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2 shared papersBioinformatics

Anthony MathelierORCID

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Author profile →

4 papers

Recent·Most cited

Machine Learning-Driven Antigen Selection Reveals Conserved T-Cell Targets for Broad Coronavirus Vaccination

Lorenzo Federico, Alexandru Odainic, Katrine Persgård Lund, Ingrid Marie Egner, Katrin E. Wiese, Lisette A. H. M. Cornelissen, Hassen Kared, Richard Stratford, Sebastian Kapell, Brandon Malone, Marius Gheorghe, Pierre Machart, Raman Siarheyeu, Yuki Tanaka, Trevor Clancy, , Ludvig A. Munthe

This study identifies conserved T-cell targets across betacoronaviruses using machine learning and validates their immunogenicity through functional assays and mRNA vaccination in mice.

bioRxiv · Apr 3, 2026 · PreprintImmunology

Artificial intelligence predicts the immunogenic landscape of SARS-CoV-2: toward universal blueprints for vaccine designs

Brandon Malone, Boris Simovski, Clément Moliné, Jun Cheng, Marius Gheorghe, Hugues Fontenelle, Ioannis Vardaxis, Simen Tennøe, J-A Malmberg, Richard Stratford, Trevor Clancy

This study uses AI to predict immunogenic epitopes across SARS-CoV-2 variants, identifying vaccine candidates with broad population coverage.

Scientific Reports · Dec 23, 2020Peer-reviewedBioinformatics

Beware the Jaccard: the choice of metric is important and non-trivial in genomic colocalisation analysis.

Stefania Salvatore, Knut Dagestad Rand, Ivar Grytten, Egil Ferkingstad, Diana Domańska, Lars Holden, Marius Gheorghe, Anthony Mathelier, Ingrid K. Glad, Geir Kjetil Sandve

The paper shows that the choice of metric significantly affects genomic co-occurrence analysis and proposes alternative approaches to guide this choice.

Briefings in Bioinformatics · Jun 18, 2019Peer-reviewedBioinformatics

A map of direct TF-DNA interactions in the human genome

Marius Gheorghe, Geir Kjetil Sandve, Aziz Khan, Jeanne Chèneby, Benoît Ballester, Anthony Mathelier

The paper develops a method to predict direct TF-DNA interactions from ChIP-seq data and provides a resource of these interactions and cis-regulatory modules.

Nucleic Acids Research · Nov 20, 2018Peer-reviewedBioinformatics