Author

Vlad V. Ungureanu

University of York

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Cancer Biology· 1

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Assay:bulk RNA-seq· 1 Research Focus:clustering· 1 Approach:deep learning· 1 Research Focus:differential expression· 1 Organism:human· 1 Approach:statistical model· 1

Frequent Co-Authors

Andrew S. MasoniD· 1 shared David M. HallidayiD· 1 shared Jennifer SouthgateiD· 1 shared Pontus ErikssoniD· 1 shared Richard T. GawneiD· 1 shared Simon C. BakeriD· 1 shared Stephen L. SmithiD· 1 shared

Activity by Year

2025-2025 · peak 1/yr

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7 top collaborators · 21 mutual co-author links

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1 shared paperCancer Biology

Andrew S. MasonORCID

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1 paper

Recent·Most cited

Biologically-informed machine learning identifies a new clinically-actionable bladder cancer subgroup characterised by NRF2 overactivity

Vlad V. Ungureanu, Richard T. Gawne, Simon C. Baker, Pontus Eriksson, David M. Halliday, Stephen L. Smith, Jennifer Southgate, Andrew S. Mason

The paper uses biologically-informed machine learning to identify a new bladder cancer subgroup with NRF2 overactivity, which is clinically actionable and resistant to standard treatments.

bioRxiv · Jun 3, 2025 · PreprintCancer Biology