Author

S. Minner

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

Signature Assays, Organisms & Methods

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Research Focus:differential expression· 2 Organism:human· 2 Assay:bulk RNA-seq· 1 Research Focus:cancer & tumor microenvironment· 1 Assay:DNA methylation· 1 Approach:experimental assay· 1 Research Focus:gene regulatory network inference· 1 Approach:machine learning (classical)· 1

Frequent Co-Authors

A. Polonski· 1 shared C. Fraune· 1 shared C. Gerhauser· 1 shared C. Hube-Magg· 1 shared C. Plass· 1 shared D. Höflmayer· 1 shared F. Büscheck· 1 shared G. Gregg· 1 shared

Activity by Year

2019-2021 · peak 1/yr

Co-Author Collaboration Network

10 top collaborators · 29 mutual co-author links

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1 shared paperCancer Biology

A. Polonski

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Author profile →

2 papers

Recent·Most cited

VPRBP functions downstream of the androgen receptor and OGT to restrict p53 activation in prostate cancer

N. Poulose, A. Polonski, N. Forsythe, G. Gregg, S. Maguire, M. Fuchs, S. Minner, S. S. McDade, I. Mills

This study identifies VPRBP as a co-regulator of the androgen receptor and OGT that suppresses p53 activation in prostate cancer, linking its expression to poor clinical outcomes.

bioRxiv · Feb 28, 2021Cancer Biology

Random forest-based modelling to detect biomarkers for prostate cancer progression

R. Toth, H. Schiffmann, C. Hube-Magg, F. Büscheck, D. Höflmayer, S. Weidemann, P. Lebok, C. Fraune, S. Minner, T. Schlomm, G. Sauter, C. Plass, Y. Assenov, R. Simon, J. Meiners, C. Gerhauser

This study uses a random forest model to identify DNA methylation biomarkers for prostate cancer progression, finding ZIC2 expression loss as an independent prognostic marker.

bioRxiv · Apr 8, 2019Cancer Biology