Author

P. Bayer

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· 3 Plant Biology· 1

Signature Assays, Organisms & Methods

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Approach:experimental assay· 3 Research Focus:cell type annotation· 1 Approach:deep learning· 1 Research Focus:drug response / drug discovery· 1 Organism:plant (other)· 1 Approach:statistical model· 1 Assay:whole-genome sequencing· 1

Frequent Co-Authors

J. S. Brown· 2 shared A. Van de Wouw· 1 shared D. Edwards· 1 shared D. R. Duckett· 1 shared E. Beynon· 1 shared H. Borhan· 1 shared J. Batley· 1 shared J. Dubbeldam· 1 shared

Activity by Year

2021-2023 · peak 3/yr

Co-Author Collaboration Network

10 top collaborators · 14 mutual co-author links

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2 shared papersCancer Biology

J. S. Brown

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Author profile →

4 papers

Recent·Most cited

Games and the treatment convexity of cancer

P. Bayer, J. West

The paper connects evolutionary game theory to cancer treatment convexity, showing how game types influence treatment response convexity and potential response discontinuities or hysteresis.

bioRxiv · Feb 27, 2023Cancer Biology

Brassica napus genes Rlm4 and Rlm7, conferring resistance to Leptosphaeria maculans, are alleles of the Rlm9 wall-associated kinase-like resistance locus

P. Haddadi, N. J. Larkan, A. Van de Wouw, Y. Zhang, T. X. Neik, E. Beynon, P. Bayer, D. Edwards, J. Batley, H. Borhan

This paper identifies Rlm4 and Rlm7 as alleles of the Rlm9 resistance locus in Brassica napus, encoding WAKL proteins that confer resistance to Leptosphaeria maculans.

bioRxiv · Dec 11, 2021Plant Biology

Coordination games in cancer

P. Bayer, R. Gatenby, P. H. McDonald, D. R. Duckett, K. Stankova, J. S. Brown

This paper introduces a model of cancer progression based on coordination games, exploring their potential in understanding and treating cancer.

bioRxiv · Jun 22, 2021Cancer Biology

A Markov chain model of cancer treatment

P. Bayer, J. S. Brown, J. Dubbeldam, M. Broom

This paper develops a Markov chain model to optimize cancer treatment strategies by maximizing discounted expected quality of life years, considering patient preferences and treatment timing.

bioRxiv · Jun 16, 2021 · PreprintCancer Biology