Author

Y. Assenov

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 Assay:DNA methylation· 2 Organism:human· 2 Research Focus:cell type annotation· 1 Research Focus:gene regulatory network inference· 1 Approach:machine learning (classical)· 1 Research Focus:protein structure prediction· 1 Approach:statistical model· 1

Frequent Co-Authors

C. Plass· 2 shared R. Toth· 2 shared C. C. Oakes· 1 shared C. Fraune· 1 shared C. Gerhauser· 1 shared C. Hube-Magg· 1 shared D. B. Lipka· 1 shared D. Höflmayer· 1 shared

Activity by Year

2019-2020 · peak 1/yr

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10 top collaborators · 30 mutual co-author links

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2 shared papersCancer Biology

C. Plass

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2 papers

Recent·Most cited

Cancer BiologybioRxivFeb 4, 2020

Methylome-based cell-of-origin modeling (Methyl-COOM) identifies aberrant expression of immune regulatory molecules in CLL

J. A. Wierzbinska, R. Toth, N. Ishaque…·D. B. Lipka

This study introduces Methyl-COOM, a method to identify cell-of-origin and CLL-specific epigenetic aberrations by analyzing DNA methylation patterns.

DOI 10.1186/s13073-020-00724-7

humanDNA methylation

𝕏 PostBluesky

Cancer BiologybioRxivApr 8, 2019

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

R. Toth, H. Schiffmann, C. Hube-Magg…·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.

DOI 10.1186/s13148-019-0736-8

humanDNA methylation

𝕏 PostBluesky