Author

Dom Kirkham

University of CambridgeORCID 0000-0003-1305-7543Unclaimed ORCID profile · follow to get notified of new preprints

Biology Disciplines

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Bioinformatics· 1

Signature Assays, Organisms & Methods

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Research Focus:benchmarking· 1 Assay:bulk RNA-seq· 1 Organism:human· 1 Approach:statistical model· 1

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Oscar M. RuedaiD· 1 shared Riccardo MasinaiD· 1 shared Sach MukherjeeiD· 1 shared Stephen‐John SammutiD· 1 shared

Activity by Year

2025-2025 · peak 1/yr

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4 top collaborators · 6 mutual co-author links

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1 shared paperBioinformatics

Oscar M. RuedaORCID

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1 paper

Recent·Most cited

BioinformaticsbioRxivPreprintJul 21, 2025

Interventionally-guided representation learning for robust and interpretable AI models in cancer medicine

Dom Kirkham, Riccardo Masina, Stephen‐John Sammut…·Oscar M. Rueda

This paper introduces a method that uses causal signals from genetic screens to improve the robustness and interpretability of AI models for cancer medicine, showing effective generalization across data and biological contexts.

DOI 10.1101/2025.07.21.662350

humanbulk RNA-seq

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