Author

N. C. Fisher

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· 3 Pathology· 1

Signature Assays, Organisms & Methods

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Assay:bulk RNA-seq· 3 Research Focus:cell type annotation· 3 Research Focus:differential expression· 3 Organism:human· 3 Approach:statistical model· 3 Research Focus:cell-cell communication· 1 Research Focus:clustering· 1 Approach:experimental assay· 1

Frequent Co-Authors

M. Lawler· 3 shared P. D. Dunne· 3 shared R. Amirkhah· 3 shared B. Ahmaderaghi· 2 shared F. Lamrock· 2 shared O. J. Sansom· 2 shared R. Byrne· 2 shared S. Corry· 2 shared

Activity by Year

2021-2024 · peak 2/yr

Co-Author Collaboration Network

10 top collaborators · 43 mutual co-author links

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3 shared papersCancer Biology

M. Lawler

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Author profile →

4 papers

Recent·Most cited

Evaluation of Gene Set Enrichment Analysis (GSEA) tools highlights the value of single sample approaches over pairwise for robust biological discovery.

C. Bull, R. M. Byrne, N. C. Fisher, S. M. Corry, R. Amirkhah, J. Edwards, L. Hillson, M. Lawler, A. Ryan, F. Lamrock, P. D. Dunne, S. B. Malla

This study compares GSEA tools and finds single sample approaches better capture biological distinctions than pairwise methods in cancer recurrence analysis.

bioRxiv · Mar 15, 2024 · PreprintCancer Biology

MmCMS: Mouse models' Consensus Molecular Subtypes of colorectal cancer

R. Amirkhah, K. Gilroy, S. Malla, T. Lannagan, R. Byrne, N. C. Fisher, S. Corry, H. Naderi-Meshkin, B. Ahmaderaghi, R. Murray, M. Mills, A. Campbell, ACRCelerate consortium, A. Berenguer Llergo, R. Sanz-Pamplona, , P. Dunne

The paper develops three methods to classify mouse colorectal cancer models into human CMS subtypes, finding that pathway-level classifiers outperform gene-level ones for accurate subtype identification.

bioRxiv · Jun 17, 2022Cancer Biology

Biological misinterpretation of transcriptional signatures in tumour samples can unknowingly undermine mechanistic understanding and faithful alignment with preclinical data

N. C. Fisher, R. Byrne, H. Leslie, C. Wood, A. Legrini, A. Cameron, B. Ahmaderaghi, S. Corry, S. Malla, R. Amirkhah, A. McCooey, E. Rogan, K. Redmond, S. Sakhnevych, E. Domingo, , P. D. Dunne

The paper shows that transcriptional signatures in tumour samples can be misinterpreted due to stromal influences, affecting alignment with preclinical data.

bioRxiv · Apr 15, 2022 · PreprintCancer Biology

Development of a semi-automated method for tumor budding assessment in colorectal cancer and comparison with manual methods

N. C. Fisher, M. B. Loughrey, H. G. Coleman, M. D. Gelbard, P. Bankhead, P. D. Dunne

This study develops a semi-automated method for tumor budding assessment in colorectal cancer and compares it with manual methods, finding strong correlation and higher detection rates with the new approach.

bioRxiv · Jun 17, 2021Pathology