Author

H. Veelken

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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Organism:human· 2 Approach:statistical model· 2 Assay:bulk RNA-seq· 1 Research Focus:cell type annotation· 1 Research Focus:clustering· 1 Approach:deep learning· 1 Assay:DNA methylation· 1 Research Focus:drug response / drug discovery· 1

Frequent Co-Authors

A. M. Otte· 1 shared C. A. M. v. Bergen· 1 shared C. J. Halkes· 1 shared D. Cats· 1 shared E. B. van den Akker· 1 shared E. O. Karakaslar· 1 shared E. Sanchez-Lopez· 1 shared E. Szczurek· 1 shared

Activity by Year

2020-2022 · peak 1/yr

Co-Author Collaboration Network

10 top collaborators · 21 mutual co-author links

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1 shared paperCancer Biology

A. M. Otte

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2 papers

Recent·Most cited

Single cell guided deconvolution of bulk transcriptomics recapitulates differentiation stages of acute myeloid leukemia and predicts drug response

E. O. Karakaslar, J. F. Severens, E. Sanchez-Lopez, P. A. van Veelen, M. Zlei, J. J. van Dongen, A. M. Otte, C. J. Halkes, P. van Balen, H. Veelken, M. J. Reinders, M. Griffioen, E. B. van den Akker

This study uses single-cell data to deconvolute bulk RNA-seq samples of AML, showing that differentiation stages can be reconstructed and used to predict drug responses like Venetoclax resistance.

bioRxiv · Dec 9, 2022 · PreprintCancer Biology

CACTUS: integrating clonal architecture with genomic clustering and transcriptome profiling of single tumor cells

S. Darvish Shafighi, S. M. Kiełbasa, J. Sepulveda-Yanez, R. Monajemi, D. Cats, H. Mei, R. Menafra, S. Kloet, H. Veelken, C. A. M. v. Bergen, E. Szczurek

CACTUS integrates genomic and transcriptomic data to map single tumor cells to their clonal origins, improving accuracy in follicular lymphoma by combining exome, RNA-seq, and B-cell receptor sequencing.

bioRxiv · Jun 5, 2020Cancer Biology