Publications by Computational Biology and Bioinformatics

Sagie, S. et al. (2025) “Lymphodepleting chemotherapy potentiates neoantigen-directed T cell therapy by enhancing antigen presentation”, Cell Reports Medicine, 6(12), p. 102506.

Steyn, N. et al. (2025) “Pandemic-risk-related behaviour change in England from June 2020 to March 2022: the cross-sectional REACT-1 study among over 2 million people”, BMJ Public Health [Preprint].

Ferreira, L., Hu, S. and Myers, S. (2025) “Interactions with polygenic background impact quantitative traits in the UK Biobank”, p. 2025.11.14.25340263.

Hayes, S. et al. (2025) “Generalizing an outbreak cluster detection method for two groups: an application to rabies”, Royal Society Open Science, 12(11).

Wang, H. et al. (2025) “Health inequalities in risk of SARS-CoV-2 infection in England’s second wave: population-based cross-sectional analysis from the REACT-1 study”, BMJ Public Health [Preprint].

Lang, M. et al. (2025) “Non-linear age dynamics of malaria infection and fine-scale environmental exposure in rural Uganda”, medRxiv.

Quast, N., Deane, C. and Raybould, M. (2025) “STCRpy: a software suite for T-cell receptor structure parsing, interaction profiling, and machine learning dataset preparation”, Bioinformatics, 41(10), p. btaf566.

Parag, K. et al. (2025) “Asymmetric limits on timely interventions from noisy epidemic data”, Communications Physics [Preprint].

Aminian, G. et al. (2025) “Generalization and robustness of the tilted empirical risk”, in Proceedings of the 42nd International Conference on Machine Learning. PMLR, pp. 1419–1461.

Dawkins, M. et al. (2025) “The benefits of smart farming: broiler chicken welfare is indicated earlier and more accurately with automated measurements of flock behaviour”, Smart Agricultural Technology, pp. 101500–101500.