Author

T. Beder

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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Cancer Biology· 2 Microbiology· 1

Signature Assays, Organisms & Methods

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Assay:bulk RNA-seq· 3 Organism:human· 3 Approach:machine learning (classical)· 2 Research Focus:cell type annotation· 1 Research Focus:clustering· 1 Research Focus:differential expression· 1 Research Focus:drug response / drug discovery· 1 Research Focus:gene regulatory network inference· 1

Frequent Co-Authors

C. D. Baldus· 2 shared G. Cario· 2 shared M. Brueggemann· 2 shared A. Attarbaschi· 1 shared A. Beishuizen· 1 shared A. Hiemisch· 1 shared A. K. Bergmann· 1 shared A. L. Vera-Guapi· 1 shared

Activity by Year

2023-2023 · peak 3/yr

Co-Author Collaboration Network

10 top collaborators · 23 mutual co-author links

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2 shared papersCancer Biology

C. D. Baldus

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Author profile →

3 papers

Recent·Most cited

Mutational and transcriptional landscape of pediatric B-cell precursor lymphoblastic lymphoma

E. Kroeze, I. Iaccarino, M. M. Kleisman, M. Mondal, T. Beder, M. Khouja, M. P. Hoeppner, M. Scheijde-Vermeulen, L. A. Kester, M. Brueggemann, C. D. Baldus, G. Cario, R. S. Bladergroen, N. Garnier, A. Attarbaschi, , W. Klapper

This study presents the first comprehensive mutational and transcriptional analysis of B-cell precursor lymphoblastic lymphoma (BCP-LBL), revealing molecular similarities to BCP-ALL but with distinct mutation patterns in epigenetic modifiers.

bioRxiv · Dec 27, 2023Cancer Biology

Machine learning on large scale perturbation screens for SARS-CoV-2 host factors identifies β-catenin/CBP inhibitor PRI-724 as a potent antiviral

M. A. Kelch, A. L. Vera-Guapi, T. Beder, M. Oswald, A. Hiemisch, N. Beil, P. Wajda, S. Ciesek, H. Erfle, T. Toptan, R. König

This paper uses machine learning on perturbation screens to identify PRI-724 as a potent antiviral targeting β-catenin/CBP, effective against multiple coronaviruses and influenza.

bioRxiv · Feb 23, 2023 · PreprintMicrobiology

The gene expression classifier ALLCatchR identifies B-precursor ALL subtypes and underlying developmental trajectories across age

T. Beder, B.-T. Hansen, A. M. Hartmann, J. Zimmermann, E. Amelunxen, N. Wolgast, W. Walter, M. Zaliova, Z. Antic, P. Chouvarine, L. Bartsch, M. Barz, M. Bultmann, J. Horns, S. Bendig, , L. Bastian

ALLCatchR, a machine learning classifier, accurately assigns B-precursor ALL samples to molecular subtypes and identifies developmental trajectories using RNA-Seq data.

bioRxiv · Feb 1, 2023 · PreprintCancer Biology