Author

Emre Sofyalı

German Cancer Research CenterORCID 0000-0002-5113-4047Unclaimed ORCID profile · follow to get notified of new preprints

Biology Disciplines

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Bioinformatics· 1 Cancer Biology· 1 Genetics· 1

Signature Assays, Organisms & Methods

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Organism:human· 3 Assay:DNA methylation· 2 Approach:statistical model· 2 Assay:bulk RNA-seq· 1 Research Focus:cancer & tumor microenvironment· 1 Approach:deep learning· 1 Research Focus:differential expression· 1 Research Focus:drug response / drug discovery· 1

Frequent Co-Authors

Simone BorgoniiD· 2 shared Stefan WiemanniD· 2 shared Agnieszka Dobrowolska· 1 shared Alice Del Vecchio· 1 shared Almut SchulzeiD· 1 shared Andrew AnighoroiD· 1 shared Angelika Wörner· 1 shared Antoine H. C. van KampeniD· 1 shared

Activity by Year

2020-2026 · peak 2/yr

Co-Author Collaboration Network

10 top collaborators · 18 mutual co-author links

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2 shared papersCancer Biology

Simone BorgoniORCID

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Author profile →

3 papers

Recent·Most cited

GLYATL1 is associated with metabolic and epigenetic changes and with endocrine resistance in luminal breast cancer

Janina Müller, Emre Sofyalı, Luisa E. Schwarzmüller, Yael Aylon, Eviatar Weizman, Lisa Schlicker, Katherine Kelly, Simone Borgoni, Simin Oz, Cole Stocker, Sara Burmester, Angelika Wörner, Sabine Karolus, Birgitta E. Michels, Daniela Heiss, , Stefan Wiemann

This study identifies GLYATL1 as a mediator of endocrine resistance in luminal breast cancer by promoting metabolic and epigenetic changes that counteract estrogen deprivation.

Clinical Epigenetics · Apr 29, 2026Peer-reviewedCancer Biology

A DNA foundation model predicts osteoporosis risk genes without proximity bias

Cristian Regep, Chantriolnt-Andreas Kapourani, Emre Sofyalı, Agnieszka Dobrowolska, Giannis Loukas, Andrew Anighoro, Eleonora Canale, Torsten Gross, Marco P. Licciardello, Revant Gupta, Sorina Maciuca, Tariq Desai, Alice Del Vecchio, Cameron Field, Karl Gemayel, , Lindsay Edwards

Rosalind, a DNA foundation model, predicts variant-gene regulatory relationships without proximity bias, identifying distal genes as more impactful in osteoporosis.

bioRxiv · Mar 12, 2026 · PreprintGenetics

Candidate methylation sites associated with endocrine therapy resistance in the TCGA ER+/HER2- breast cancer cohort

Maryam Soleimani Dodaran, Simone Borgoni, Emre Sofyalı, Pernette J. Verschure, Stefan Wiemann, Perry D. Moerland, Antoine H. C. van Kampen

The paper identifies DNA methylation markers associated with endocrine therapy resistance in ER+/HER2- breast cancer using TCGA data and cell line experiments.

BMC Cancer · Jul 19, 2020Peer-reviewedBioinformatics