Author

Jonathan Lay

University of Cambridge

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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Genomics· 1

Signature Assays, Organisms & Methods

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Approach:Bayesian inference· 1 Research Focus:differential expression· 1 Assay:DNA methylation· 1 Organism:human· 1 Research Focus:protein structure prediction· 1 Approach:statistical model· 1 Assay:whole-genome sequencing· 1

Frequent Co-Authors

Alistair G. MartiniD· 1 shared Anja BrouweriD· 1 shared Carlos CaldasiD· 1 shared Dana W.Y. TsuiiD· 1 shared Davina Gillian GaleiD· 1 shared Emma J. BeddowesiD· 1 shared Fleur Tippin· 1 shared James Tanner· 1 shared

Activity by Year

2023-2023 · peak 1/yr

Co-Author Collaboration Network

10 top collaborators · 45 mutual co-author links

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1 shared paperGenomics

Alistair G. MartinORCID

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1 paper

Recent·Most cited

A large-scale retrospective study in metastatic breast cancer patients using circulating tumor DNA and machine learning to predict treatment outcome and progression-free survival

Emma J. Beddowes, Mario Ortega Duran, Solon Karapanagiotis, Alistair G. Martin, Meiling Gao, Riccardo Masina, Ramona Woitek, James Tanner, Fleur Tippin, Justine Kane, Jonathan Lay, Anja Brouwer, Stephen‐John Sammut, Suet‐Feung Chin, Davina Gillian Gale, , Carlos Caldas

This study uses ctDNA from metastatic breast cancer patients and a Bayesian model to predict treatment response and progression-free survival, outperforming alternative methods.

bioRxiv · Mar 3, 2023 · PreprintGenomics