Author

S. F. Oosting

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Cancer Biology· 2

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Assay:bulk RNA-seq· 2 Research Focus:differential expression· 2 Research Focus:gene regulatory network inference· 2 Organism:human· 2 Approach:statistical model· 2 Assay:whole-genome sequencing· 2 Research Focus:clustering· 1 Approach:machine learning (classical)· 1

Frequent Co-Authors

A. A. M. van der Veldt· 2 shared H. J. G. van de Werken· 2 shared H. M. Westgeest· 2 shared A. Beeker· 1 shared E. Cuppen· 1 shared E. P. J. G. Cuppen· 1 shared E. Zwarthoff· 1 shared G. J. L. H. van Leenders· 1 shared

Activity by Year

2021-2023 · peak 1/yr

Co-Author Collaboration Network

10 top collaborators · 33 mutual co-author links

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2 shared papersCancer Biology

A. A. M. van der Veldt

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2 papers

Recent·Most cited

Genomic and transcriptomic landscape of advanced renal cell cancer to individualize treatment strategy

K. de Joode, W. S. van de Geer, G. J. L. H. van Leenders, P. Hamberg, H. M. Westgeest, A. Beeker, S. F. Oosting, J. M. van Rooijen, L. V. Beerepoot, M. Labots, R. H. J. Mathijssen, M. P. Lolkema, E. Cuppen, S. Sleijfer, H. J. G. van de Werken, A. A. M. van der Veldt

This study uses genomic and transcriptomic data from advanced renal cell cancer patients to identify actionable mutations and immune signatures to guide personalized treatment strategies.

Scientific Reports · Jul 3, 2023Peer-reviewedCancer Biology

Molecular characterization reveals genomic and transcriptomic subtypes of metastatic urothelial carcinoma

J. A. Nakauma-Gonzalez, M. Rijnders, J. van Riet, M. S. van der Heijden, J. Voortman, E. P. J. G. Cuppen, N. Mehra, S. van Wilpe, S. F. Oosting, L. L. Rijstenberg, H. M. Westgeest, E. Zwarthoff, R. de Wit, A. A. M. van der Veldt, H. J. G. van de Werken, , J. L. Boormans

This paper identifies genomic and transcriptomic subtypes of metastatic urothelial carcinoma using multi-omics analysis, revealing potential therapeutic targets and patient-specific strategies.

bioRxiv · Mar 17, 2021Cancer Biology