Author

Nathalie A. Feeley

Edinburgh Cancer ResearchORCID 0000-0003-0124-6398Unclaimed ORCID profile · follow to get notified of new preprints

Biology Disciplines

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Research Focus:cancer & tumor microenvironment· 1 Research Focus:cell type annotation· 1 Research Focus:clustering· 1 Approach:deep learning· 1 Research Focus:differential expression· 1 Assay:Hi-C· 1 Organism:human· 1 Organism:mouse· 1

Frequent Co-Authors

Ian P.M. TomlinsoniD· 2 shared S. ThorniD· 2 shared Caitlin McCaffrey· 1 shared Daniel T. FieldiD· 1 shared Ewen M. HarrisoniD· 1 shared Hugh WardeniD· 1 shared Ignacio SorianoiD· 1 shared Kai Williams· 1 shared

Activity by Year

2024-2026 · peak 1/yr

Co-Author Collaboration Network

10 top collaborators · 38 mutual co-author links

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2 shared papersCell Biology

Ian P.M. TomlinsonORCID

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2 papers

Recent·Most cited

Cell BiologyThe Journal of PathologyPeer-reviewedSep 8, 2026

DUCK-Net: Automated deep learning segmentation of Ductular Reaction in murine liver injury captures multicellular niche dynamics from H&E morphology

Nathalie A. Feeley, Kai Williams, Caitlin McCaffrey…·Rachel Victoria Guest

This paper introduces DUCK-Net, a deep learning model for automated segmentation of Ductular Reactions in murine liver injury, showing high accuracy and correlation with spatial transcriptomic data.

DOI 10.1002/path.70113

mouseHi-C

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Cancer BiologybioRxivPreprintJul 10, 2024

Quantifying "just-right" APC inactivation for colorectal cancer initiation

Meritxell Brunet Guasch, Nathalie A. Feeley, Ignacio Soriano…·Tibor Antal A

The paper quantifies the tumorigenic effect of partial APC inactivation in colorectal cancer, finding it confers a 50-fold higher cancer progression risk than complete inactivation.

2 citations

humanwhole-exome sequencing

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