Aidan C. Daly

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Supplementary material from "Inference-based assessment of parameter identifiability in nonlinear biological models"

Aidan C. Daly, David J. Gavaghan, Jonathan Cooper, 2018 .

Reproducible model development in the cardiac electrophysiology Web Lab

Michael Clerx, Gary R. Mirams, David J. Gavaghan, 2018, bioRxiv.

Reproducible model development in the Cardiac Electrophysiology Web Lab

Michael Clerx, David J. Gavaghan, Gary R. Mirams, 2018 .

Constrained non-negative matrix factorization enabling real-time insights of in situ and high-throughput experiments pdf

Aidan C. Daly, Daniel Olds, Phillip M. Maffettone, 2021, Applied Physics Reviews.

Statistical tools and community resources for developing trusted models in biology and chemistry

Aidan C. Daly, 2017 .

Comparing two sequential Monte Carlo samplers for exact and approximate Bayesian inference on biological models

Aidan C. Daly, D. Gavaghan, C. Holmes, 2017, Journal of The Royal Society Interface.

Use of Bayesian Inference for Parameter Recovery in DC and AC Voltammetry

Jie Zhang, David J. Gavaghan, Aidan C. Daly, 2018 .

Reproducible model development in the cardiac electrophysiology Web Lab

Gary R. Mirams, Aidan C. Daly, G. Mirams, 2018, bioRxiv.

Inference-based assessment of parameter identifiability in nonlinear biological models

David Gavaghan, Jonathan Cooper, Aidan C. Daly, 2018, Journal of The Royal Society Interface.

A convolutional neural network for common coordinate registration of high-resolution histology images

Aidan C. Daly, Krzysztof J. Geras, Richard A. Bonneau, 2020, bioRxiv.

Hodgkin–Huxley revisited: reparametrization and identifiability analysis of the classic action potential model with approximate Bayesian methods

Aidan C. Daly, Jonathan Cooper, David J Gavaghan, 2015, Royal Society Open Science.