Author

S. van Wilpe

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· 1 Immunology· 1

Signature Assays, Organisms & Methods

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Assay:bulk RNA-seq· 1 Research Focus:cell type annotation· 1 Research Focus:clustering· 1 Approach:deep learning· 1 Research Focus:differential expression· 1 Research Focus:gene regulatory network inference· 1 Organism:human· 1 Assay:imaging· 1

Frequent Co-Authors

A. A. M. van der Veldt· 1 shared C. G. Figdor· 1 shared E. Martynova· 1 shared E. P. J. G. Cuppen· 1 shared E. Zwarthoff· 1 shared F. Buytenhuijs· 1 shared H. J. G. van de Werken· 1 shared H. M. Westgeest· 1 shared

Activity by Year

2021-2021 · peak 2/yr

Co-Author Collaboration Network

10 top collaborators · 21 mutual co-author links

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1 shared paperCancer Biology

A. A. M. van der Veldt

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2 papers

Recent·Most cited

ImmuNet: A Segmentation-Free Machine Learning Pipeline for Immune Landscape Phenotyping in Tumors by Muliplex Imaging

S. Sultan, M. A. J. Gorris, E. Martynova, L. L. van der Woude, F. Buytenhuijs, S. van Wilpe, K. Verrijp, C. G. Figdor, I. J. M. de Vries, J. Textor

ImmuNet is a machine learning pipeline that identifies cell positions and phenotypes in multiplex imaging without segmentation, outperforming segmentation-based methods with error rates below 5-10%.

bioRxiv · Oct 22, 2021Immunology

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