Author

Lewis Marsh

University of OxfordORCID 0000-0002-6740-8436Unclaimed ORCID profile · follow to get notified of new preprints

Biology Disciplines

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Bioinformatics· 1 Cancer Biology· 1 Genomics· 1

Signature Assays, Organisms & Methods

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Approach:statistical model· 3 Research Focus:cell type annotation· 2 Research Focus:cell-cell communication· 2 Research Focus:differential expression· 2 Organism:human· 2 Assay:imaging· 2 Assay:ATAC-seq· 1 Research Focus:benchmarking· 1

Frequent Co-Authors

Adam Norton-SteeleiD· 2 shared Felix ZhouiD· 2 shared Helen Mary ByrneiD· 2 shared Xin LüiD· 2 shared Brittany‐Amber JacobsiD· 1 shared Carlos Ruiz PuigiD· 1 shared Christopher A. O’CallaghaniD· 1 shared Goutham AtlaiD· 1 shared

Activity by Year

2025-2026 · peak 2/yr

Co-Author Collaboration Network

10 top collaborators · 26 mutual co-author links

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2 shared papersCancer Biology

Adam Norton-SteeleORCID

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3 papers

Recent·Most cited

Identifying phenotype-genotype-function coupling in 3D organoid imaging using Shape, Appearance and Motion Phenotype Observation Tool (SPOT)

Felix Zhou, Brittany‐Amber Jacobs, Adam Norton-Steele, Xiaoyue Han, Linna Zhou, Thomas M. Carroll, Carlos Ruiz Puig, Joseph Chadwick, Xiao Qin, Richard Lisle, Lewis Marsh, Helen Mary Byrne, Heather Harrington, Xin Lü

The paper develops SPOT, a tool for analyzing 3D morpho-dynamics from 2D live-cell imaging, and applies it to organoids to identify phenotype-genotype-function relationships.

Nature Communications · Aug 17, 2026Peer-reviewedCancer Biology

CAD variants act through ox-LDL-induced enhancer remodelling to alter VSMC gene programmes

Thomas A. Agbaedeng, Goutham Atla, Thomas K. Hiron, Jiahao Jiang, Yashaswat Malhotra, Lewis Marsh, Joanna M. M. Howson, Christopher A. O’Callaghan

The paper identifies CAD risk variants that alter VSMC gene programs via ox-LDL-induced enhancer remodelling using multi-omics approaches.

bioRxiv · Apr 23, 2026 · PreprintGenomics

Development of a universal imaging "phenome" using Shape, Appearance and Motion (SAM) features and the SAM Observation Tool (SPOT)

Felix Zhou, Adam Norton-Steele, Lewis Marsh, Helen Mary Byrne, Heather A. Harrington, Xin Lü

The paper develops a universal imaging phenome using SAM features and SPOT tool, showing it outperforms deep learning models in capturing dynamic cell behaviors.

bioRxiv · Nov 28, 2025 · PreprintBioinformatics