Author

M. Madgwick

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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Bioinformatics· 1 Cancer Biology· 1 Microbiology· 1

Signature Assays, Organisms & Methods

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Research Focus:benchmarking· 2 Approach:experimental assay· 2 Approach:machine learning (classical)· 2 Research Focus:cancer & tumor microenvironment· 1 Research Focus:differential expression· 1 Research Focus:gene regulatory network inference· 1 Research Focus:host-pathogen & immune response· 1 Assay:metagenomics· 1

Frequent Co-Authors

J. Kelly· 2 shared N. Haiminen· 2 shared A. Agarwal· 1 shared A. Andrusaite· 1 shared A. Evans· 1 shared A. M. McKee· 1 shared A. P. Carrieri· 1 shared A.-P. Carrieri· 1 shared

Activity by Year

2020-2024 · peak 1/yr

Co-Author Collaboration Network

10 top collaborators · 20 mutual co-author links

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2 shared papersBioinformatics

J. Kelly

Mutual co-authors in cluster

Author profile →

3 papers

Recent·Most cited

AutoXAI4Omics: an Automated Explainable AI tool for Omics and tabular data

J. Strudwick, L.-J. Gardiner, K. Denning-James, N. Haiminen, A. Evans, J. Kelly, M. Madgwick, F. Utro, E. Seabolt, C. Gibson, B. Bedi, D. Clayton, C. Howell, L. PARIDA, A. P. Carrieri

AutoXAI4Omics automates and explains ML pipelines for omics and tabular data, enabling interpretable insights for biomarker discovery and phenotype prediction.

bioRxiv · Mar 25, 2024 · PreprintBioinformatics

Development and evaluation of statistical and Artificial Intelligence approaches with microbial shotgun metagenomics data as an untargeted screening tool for use in food production

K. L. Beck, N. Haiminen, A. Agarwal, A.-P. Carrieri, M. Madgwick, J. Kelly, V. Pylro, B. Kawas, M. Wiedmann, E. Ganda

This study evaluates AI and statistical methods on microbial shotgun metagenomics data to detect anomalies in fluid milk, showing explainable AI can classify anomalous samples and identify microbial drivers.

bioRxiv · Aug 16, 2022Microbiology

Antibiotic-induced disturbances of the gut microbiota result in accelerated breast tumour growth via a mast cell-dependent pathway

B. M. Kirkup, A. M. McKee, M. Madgwick, C. A. Price, S. A. Dreger, K. A. Makin, S. Caim, G. Le Gall, J. Pavely, C. Leclaire, M. Dalby, C. Alcon-Giner, A. Andrusaite, M. Di Modica, T. Triulzi, , S. D. Robinson

This study shows antibiotic-induced gut microbiota disturbances accelerate breast tumour growth in mice via mast cell-dependent mechanisms.

bioRxiv · Mar 7, 2020 · PreprintCancer Biology