Author

Michael A. Erdmann

Friedrich-Alexander-Universität Erlangen-Nürnberg

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· 1

Signature Assays, Organisms & Methods

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Assay:bulk RNA-seq· 1 Approach:deep learning· 1 Research Focus:drug response / drug discovery· 1 Organism:human· 1 Approach:statistical model· 1

Frequent Co-Authors

Adrian WeichiD· 1 shared Anja WesselyiD· 1 shared Beatrice Schuler‐ThurneriD· 1 shared Carola BerkingiD· 1 shared Caroline VoskensiD· 1 shared Christopher LischeriD· 1 shared Claudia KammerbaueriD· 1 shared Elias A. T. KochiD· 1 shared

Activity by Year

2025-2025 · peak 1/yr

Co-Author Collaboration Network

10 top collaborators · 45 mutual co-author links

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1 shared paperCancer Biology

Adrian WeichORCID

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1 paper

Recent·Most cited

A computational SOX10 network-based selection strategy to identify new drug targets in uveal melanoma

Anja Wessely, Christopher Lischer, Adrian Weich, Claudia Kammerbauer, Esther Güse, Elias A. T. Koch, Xin Lai, Jan Dörrie, Michael A. Erdmann, Caroline Voskens, Stefan Schliep, Jens H. L. Neumann, Markus Eckstein, Harald L. J. Knorr, Beatrice Schuler‐Thurner, , Markus Vincent Heppt

The paper identifies E2F transcription factors as potential druggable targets in uveal melanoma by analyzing SOX10's role and its downstream effects.

bioRxiv · Oct 14, 2025 · PreprintCancer Biology