Author

S. Antonia

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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Approach:deep learning· 2 Assay:imaging· 2 Research Focus:cell type annotation· 1 Research Focus:clustering· 1 Research Focus:host-pathogen & immune response· 1 Organism:human· 1 Approach:machine learning (classical)· 1 Research Focus:spatial domain detection· 1

Frequent Co-Authors

A. A. Beg· 2 shared A. R. A. Anderson· 2 shared C. Gatenbee· 2 shared M. Robertson-Tessi· 2 shared R. A. Gatenby· 2 shared S. Prabhakaran· 2 shared J. E. Gray· 1 shared J. Gray· 1 shared

Activity by Year

2021-2022 · peak 1/yr

Co-Author Collaboration Network

9 top collaborators · 34 mutual co-author links

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2 shared papersCancer Biology

A. A. Beg

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2 papers

Recent·Most cited

Distinct tumor-immune ecologies in NSCLC patients predict progression and define a clinical biomarker of therapy response

S. Prabhakaran, C. Gatenbee, M. Robertson-Tessi, J. Gray, S. Antonia, A. A. Beg, R. A. Gatenby, A. R. A. Anderson

The paper analyzes multiplexed histological images from NSCLC patients to identify spatial immune ecologies that predict disease progression and serve as potential biomarkers for therapy response.

bioRxiv · Oct 22, 2022 · PreprintCancer Biology

Mistic: an open-source multiplexed image t-SNE viewer

S. Prabhakaran, C. Gatenbee, M. Robertson-Tessi, J. West, A. A. Beg, J. E. Gray, S. Antonia, R. A. Gatenby, A. R. A. Anderson

Mistic provides an open-source tool to visualize multiplexed images using t-SNE or UMAP layouts for exploratory analysis of tumor tissue ecology.

bioRxiv · Oct 8, 2021Cancer Biology