Author

L. Spekking

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Cancer Biology· 1

Signature Assays, Organisms & Methods

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Assay:bulk RNA-seq· 1 Research Focus:cell type annotation· 1 Research Focus:differential expression· 1 Research Focus:gene regulatory network inference· 1 Organism:human· 1 Approach:machine learning (classical)· 1

Frequent Co-Authors

C. G. Hubert· 1 shared C. Lokh· 1 shared K. Stankova· 1 shared M. Verduin· 1 shared M. Vooijs· 1 shared R. Cavill· 1 shared S. Azimi· 1 shared W. Jung· 1 shared

Activity by Year

2022-2022 · peak 1/yr

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8 top collaborators · 28 mutual co-author links

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1 shared paperCancer Biology

C. G. Hubert

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1 paper

Recent·Most cited

How to use transcriptomic data for game-theoretic modeling of treatment-induced resistance in cancer cells? A case study in patient-derived glioblastoma organoids

L. Spekking, C. Lokh, W. Jung, M. Verduin, S. Azimi, C. G. Hubert, M. Vooijs, R. Cavill, K. Stankova

This paper uses transcriptomic data from glioblastoma organoids to predict evolutionary responses to irradiation using game-theoretic models, finding hypoxia drives short-term resistance while supervised methods best estimate evolutionary dynamics.

bioRxiv · Jan 26, 2022 · PreprintCancer Biology