Author

A. D. Beggs

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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Organism:human· 2 Assay:bulk RNA-seq· 1 Research Focus:cell type annotation· 1 Assay:CRISPR screen· 1 Approach:deep learning· 1 Research Focus:drug response / drug discovery· 1 Approach:experimental assay· 1 Assay:imaging· 1

Frequent Co-Authors

A. A. Meade· 1 shared A. Blake· 1 shared A. Chatzipli· 1 shared A. Stodolna· 1 shared C. Bryer· 1 shared C. Hardy· 1 shared C. M. Whalley· 1 shared C. Verrill· 1 shared

Activity by Year

2019-2021 · peak 1/yr

Co-Author Collaboration Network

10 top collaborators · 21 mutual co-author links

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1 shared paperCancer Biology

A. A. Meade

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Author profile →

2 papers

Recent·Most cited

Patient derived organoids reveal that PI3K/AKT signaling is an escape pathway for radioresistance and a target for therapy in rectal cancer.

K. Wanigasooriya, J. D. Barros-Silva, L. Tee, M. E. Elasrag, A. Stodolna, O. Pickles, J. D. Stockton, C. Bryer, R. Hoare, C. M. Whalley, R. Tyler, T. Sillo, C. Yau, T. Ismail, A. D. Beggs

The paper identifies PI3K/AKT/mTOR pathway upregulation as a mechanism of radioresistance in rectal cancer and shows that dual PI3K/mTOR inhibitors radiosensitize cancer cells in organoid models.

bioRxiv · Aug 31, 2021 · PreprintCancer Biology

Image-based consensus molecular subtype classification (imCMS) of colorectal cancer using deep learning

K. Sirinukunwattana, E. Domingo, S. Richman, K. L. Redmond, A. Blake, C. Verrill, S. J. Leedham, A. Chatzipli, C. Hardy, C. Whalley, C.-H. Wu, A. D. Beggs, U. McDermott, P. Dunne, A. A. Meade, , V. Koelzer

This paper develops imCMS, a deep learning method to classify colorectal cancer subtypes from histological images, showing improved accuracy over bioinformatic methods.

bioRxiv · May 23, 2019Cancer Biology