Author

T. Arns

Listed by name: these papers carry no ORCID for this author, so different people with the same name may be mixed together.

Biology Disciplines

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Bioinformatics· 1 Cancer Biology· 1

Signature Assays, Organisms & Methods

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Research Focus:differential expression· 2 Research Focus:benchmarking· 1 Assay:bulk RNA-seq· 1 Research Focus:cell type annotation· 1 Research Focus:clustering· 1 Assay:DNA methylation· 1 Research Focus:drug response / drug discovery· 1 Approach:experimental assay· 1

Frequent Co-Authors

A. Skupin· 2 shared P. May· 2 shared A. De Falco· 1 shared A. Fouquier dHerouel· 1 shared A. Golebiewska· 1 shared A. Michelucci· 1 shared A. Mock· 1 shared A. Muller· 1 shared

Activity by Year

2020-2023 · peak 1/yr

Co-Author Collaboration Network

10 top collaborators · 38 mutual co-author links

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2 shared papersBioinformatics

A. Skupin

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Author profile →

2 papers

Recent·Most cited

Mechanism-based classification of SARS-CoV-2 Variants by Molecular Dynamics Resembles Phylogenetic Tree

T. Arns, A. Fouquier dHerouel, P. May, A. Tkatchenko, A. Skupin

This paper introduces a Persistence Score to classify SARS-CoV-2 variants based on molecular dynamics, showing it groups variants into clinically relevant subgroups with higher sensitivity than traditional methods.

bioRxiv · Nov 28, 2023 · PreprintBioinformatics

Primary and recurrent glioma patient-derived orthotopic xenografts (PDOX) represent relevant patient avatars for precision medicine

A. Golebiewska, A.-C. Hau, A. Oudin, D. Stieber, Y. A. Yabo, V. Baus, V. Barthelemy, E. Klein, S. Bougnaud, O. Keunen, M. Wantz, A. Michelucci, V. Neirinckx, A. Muller, T. Kaoma, , S. P. Niclou

This study shows that glioma PDOX models accurately represent patient tumors and can predict treatment responses in personalized medicine.

bioRxiv · Apr 24, 2020Cancer Biology