Author

James McKenna

Primary ORCID profile (0009-0009-9845-6834 · 2 papers)Unclaimed ORCID profile · follow to get notified of new preprints

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Same name, identified by ORCID

James McKennaiD2 papers · Uppsala University

Biology Disciplines

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Bioinformatics· 1

Signature Assays, Organisms & Methods

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Research Focus:benchmarking· 1 Approach:deep learning· 1 Research Focus:drug response / drug discovery· 1 Assay:proteomics· 1 Approach:statistical model· 1

Frequent Co-Authors

Bryan Lye· 1 shared Fatemeh VafaeeiD· 1 shared Hermione E AlleniD· 1 shared John George LockiD· 1 shared Kavya Pamulapati· 1 shared Kaylene J Simpson· 1 shared Muhammad Javad HeydariiD· 1 shared Parvin Mansouri· 1 shared

Activity by Year

2025-2025 · peak 1/yr

Co-Author Collaboration Network

10 top collaborators · 45 mutual co-author links

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1 shared paperBioinformatics

Bryan Lye

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1 paper

Recent·Most cited

Uncertainty-Aware Deep Learning for Multi-Metric and Dose-Specific Prediction of Drug Synergy

Muhammad Javad Heydari, Bryan Lye, Parvin Mansouri, Thomas Marsland, Kavya Pamulapati, Robert Vary, Hermione E Allen, Kaylene J Simpson, John George Lock, James McKenna, Fatemeh Vafaee

AlgoraeOS predicts drug synergy with dose-specific inhibition profiles and uncertainty estimates, achieving strong performance across diverse tissues and drug mechanisms.

bioRxiv · Nov 5, 2025 · PreprintBioinformatics